Triple
T2797447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Employment and Training Administration |
E53072
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
ETA
ETA is a U.S. Department of Labor agency that oversees federal employment, job training, and workforce development programs.
|
E299489
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: ETA | Statement: [Employment and Training Administration, abbreviation, ETA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ETA Context triple: [Employment and Training Administration, abbreviation, ETA]
-
A.
ETAC
ETAC is the Engineering Technology Accreditation Commission of ABET, responsible for accrediting engineering technology degree programs worldwide.
-
B.
ETO
ETO refers to the European Theater of Operations, the major area of military conflict in Europe during World War II involving the Allied and Axis powers.
-
C.
ETO
ETO is the stock ticker symbol for Entertainment One, a media and entertainment company known for producing and distributing film, television, and family programming.
-
D.
ETS
ETS is a nonprofit organization that develops and administers standardized tests and assessments used worldwide for education, certification, and professional licensing.
-
E.
ETB
ETB is the three-letter international currency code used to represent the Ethiopian birr in global financial and foreign exchange contexts.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: ETA Triple: [Employment and Training Administration, abbreviation, ETA]
Generated description
ETA is a U.S. Department of Labor agency that oversees federal employment, job training, and workforce development programs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ETA Target entity description: ETA is a U.S. Department of Labor agency that oversees federal employment, job training, and workforce development programs.
-
A.
ETAC
ETAC is the Engineering Technology Accreditation Commission of ABET, responsible for accrediting engineering technology degree programs worldwide.
-
B.
ETO
ETO refers to the European Theater of Operations, the major area of military conflict in Europe during World War II involving the Allied and Axis powers.
-
C.
ETO
ETO is the stock ticker symbol for Entertainment One, a media and entertainment company known for producing and distributing film, television, and family programming.
-
D.
ETS
ETS is a nonprofit organization that develops and administers standardized tests and assessments used worldwide for education, certification, and professional licensing.
-
E.
ETB
ETB is the three-letter international currency code used to represent the Ethiopian birr in global financial and foreign exchange contexts.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ab495a90788190941b6917e1eca3a6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abddf0f4988190bffc3abab7edbb81 |
completed | March 7, 2026, 8:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc66798148190bd7b163043167409 |
completed | March 10, 2026, 7:21 a.m. |
| NEDg | Description generation | batch_69afc6e6d4bc81908108fe24677448c3 |
completed | March 10, 2026, 7:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afc792051c8190b8c95156e5fcfe2f |
completed | March 10, 2026, 7:26 a.m. |
Created at: March 6, 2026, 9:58 p.m.