Triple
T818121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lithuania |
E17692
|
entity |
| Predicate | ISO3166-1Alpha3 |
P189
|
FINISHED |
| Object |
LTU
LTU is the three-letter ISO 3166-1 alpha-3 country code assigned to Lithuania.
|
E98258
|
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: LTU | Statement: [Lithuania, ISO3166-1Alpha3, LTU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LTU Context triple: [Lithuania, ISO3166-1Alpha3, LTU]
-
A.
LU
LU is the two-letter ISO 3166-1 alpha-2 country code assigned to Luxembourg for international identification and data standards.
-
B.
Uji Campus
Uji Campus is one of Kyoto University’s main campuses, known for its concentration of advanced science and engineering research institutes in Uji, Kyoto Prefecture, Japan.
-
C.
L.T.
L.T. is the nickname of Lawrence Taylor, the Hall of Fame linebacker widely regarded as one of the greatest defensive players in NFL history.
-
D.
LTRI
LTRI is a Japanese institution responsible for the professional training and research development of legal professionals, particularly judges and prosecutors.
-
E.
CEPT University
CEPT University is a leading Indian institution in Ahmedabad renowned for its programs in architecture, planning, design, and built environment studies.
- 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: LTU Triple: [Lithuania, ISO3166-1Alpha3, LTU]
Generated description
LTU is the three-letter ISO 3166-1 alpha-3 country code assigned to Lithuania.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LTU Target entity description: LTU is the three-letter ISO 3166-1 alpha-3 country code assigned to Lithuania.
-
A.
LU
LU is the two-letter ISO 3166-1 alpha-2 country code assigned to Luxembourg for international identification and data standards.
-
B.
Uji Campus
Uji Campus is one of Kyoto University’s main campuses, known for its concentration of advanced science and engineering research institutes in Uji, Kyoto Prefecture, Japan.
-
C.
L.T.
L.T. is the nickname of Lawrence Taylor, the Hall of Fame linebacker widely regarded as one of the greatest defensive players in NFL history.
-
D.
LTRI
LTRI is a Japanese institution responsible for the professional training and research development of legal professionals, particularly judges and prosecutors.
-
E.
CEPT University
CEPT University is a leading Indian institution in Ahmedabad renowned for its programs in architecture, planning, design, and built environment studies.
- 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_69a4937bcaac8190a322524ac6f45a5a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4ab63f4a48190a61a14c3c41ed641 |
completed | March 1, 2026, 9:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a76d8f639081909690d1ef4c98680e |
completed | March 3, 2026, 11:23 p.m. |
| NEDg | Description generation | batch_69a781f5536c81908175d58b6b75adba |
completed | March 4, 2026, 12:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7860e656c8190a08a9999662ba1f1 |
completed | March 4, 2026, 1:08 a.m. |
Created at: March 1, 2026, 7:38 p.m.