Triple
T2454340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LAL |
E53782
|
entity |
| Predicate | rival |
P437
|
FINISHED |
| Object |
LAC
LAC refers to the Los Angeles Clippers, a professional NBA basketball team based in Los Angeles and a crosstown rival of the Los Angeles Lakers.
|
E267776
|
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: LAC | Statement: [LAL, rival, LAC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LAC Context triple: [LAL, rival, LAC]
-
A.
LAK
LAK is the standard abbreviation used to represent the Los Angeles Lakers NBA franchise in scores, statistics, and media.
-
B.
LAL
LAL is the standard NBA abbreviation for the Los Angeles Lakers basketball franchise.
-
C.
LAC Bureau
The LAC Bureau is the United States Agency for International Development’s regional office responsible for overseeing development, humanitarian, and economic assistance programs across Latin America and the Caribbean.
-
D.
LCC
LCC is a comprehensive library classification system developed by the Library of Congress to organize and arrange books and other materials by subject.
-
E.
LAU
LAU is a private, internationally oriented university in Lebanon known for its American-style higher education and multiple campuses.
- 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: LAC Triple: [LAL, rival, LAC]
Generated description
LAC refers to the Los Angeles Clippers, a professional NBA basketball team based in Los Angeles and a crosstown rival of the Los Angeles Lakers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LAC Target entity description: LAC refers to the Los Angeles Clippers, a professional NBA basketball team based in Los Angeles and a crosstown rival of the Los Angeles Lakers.
-
A.
LAK
LAK is the standard abbreviation used to represent the Los Angeles Lakers NBA franchise in scores, statistics, and media.
-
B.
LAL
LAL is the standard NBA abbreviation for the Los Angeles Lakers basketball franchise.
-
C.
LAC Bureau
The LAC Bureau is the United States Agency for International Development’s regional office responsible for overseeing development, humanitarian, and economic assistance programs across Latin America and the Caribbean.
-
D.
LCC
LCC is a comprehensive library classification system developed by the Library of Congress to organize and arrange books and other materials by subject.
-
E.
LAU
LAU is a private, internationally oriented university in Lebanon known for its American-style higher education and multiple campuses.
- 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_69ab495d227c8190b26ae6548eeb1019 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd0f7f85c8190a60970b6adb7fe80 |
completed | March 7, 2026, 7:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aef0c7c90c8190ba5ed3cece5e049f |
completed | March 9, 2026, 4:09 p.m. |
| NEDg | Description generation | batch_69aef5ca95dc8190b0f7f20d2128ae93 |
completed | March 9, 2026, 4:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aef632e2e08190b21023cbb0f12be8 |
completed | March 9, 2026, 4:32 p.m. |
Created at: March 6, 2026, 9:44 p.m.