Triple
T1286432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Proceedings of Meetings on Acoustics |
E27443
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
POMA
POMA is a scholarly journal and conference proceedings series published by the Acoustical Society of America that disseminates research presented at acoustics meetings.
|
E145914
|
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: POMA | Statement: [Proceedings of Meetings on Acoustics, hasAbbreviation, POMA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: POMA Context triple: [Proceedings of Meetings on Acoustics, hasAbbreviation, POMA]
-
A.
PUM
PUM is the stock ticker symbol for Puma, the German multinational sportswear and athletic footwear company.
-
B.
Poga
Poga is a genus of flowering plants in the family Anisophylleaceae, known for its tropical tree species.
-
C.
Pomo
The Pomo are a Native American people indigenous to what is now Northern California, traditionally known for their intricate basketry and diverse local dialects.
-
D.
PMA
PMA is an abbreviation commonly used for the U.S. Department of Agriculture’s former Production and Marketing Administration, which managed agricultural production and commodity marketing programs.
-
E.
Pijin
Pijin is an English-based creole language widely used as a lingua franca in the Solomon Islands.
- 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: POMA Triple: [Proceedings of Meetings on Acoustics, hasAbbreviation, POMA]
Generated description
POMA is a scholarly journal and conference proceedings series published by the Acoustical Society of America that disseminates research presented at acoustics meetings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: POMA Target entity description: POMA is a scholarly journal and conference proceedings series published by the Acoustical Society of America that disseminates research presented at acoustics meetings.
-
A.
PUM
PUM is the stock ticker symbol for Puma, the German multinational sportswear and athletic footwear company.
-
B.
Poga
Poga is a genus of flowering plants in the family Anisophylleaceae, known for its tropical tree species.
-
C.
Pomo
The Pomo are a Native American people indigenous to what is now Northern California, traditionally known for their intricate basketry and diverse local dialects.
-
D.
PMA
PMA is an abbreviation commonly used for the U.S. Department of Agriculture’s former Production and Marketing Administration, which managed agricultural production and commodity marketing programs.
-
E.
Pijin
Pijin is an English-based creole language widely used as a lingua franca in the Solomon Islands.
- 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_69a496d4ec448190ad653b2590c46711 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c0b85eb48190a8b61dc397fa6390 |
completed | March 1, 2026, 10:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aca3004b648190a4148b0421699bf9 |
completed | March 7, 2026, 10:13 p.m. |
| NEDg | Description generation | batch_69aca3a6c8508190bac1ecaf57e40bb0 |
completed | March 7, 2026, 10:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aca40068f08190a49f9cbb5c78b471 |
completed | March 7, 2026, 10:17 p.m. |
Created at: March 1, 2026, 7:51 p.m.