Triple
T1739634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Angeles World Airports |
E38201
|
entity |
| Predicate | hasShortName |
P1354
|
FINISHED |
| Object | LAWA |
E192950
|
NE FINISHED |
How this triple was built (2 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: LAWA | Statement: [Los Angeles World Airports, hasShortName, LAWA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LAWA Context triple: [Los Angeles World Airports, hasShortName, LAWA]
-
A.
LAWA
chosen
LAWA is the municipal agency that owns and operates Los Angeles’ system of airports, including Los Angeles International Airport (LAX).
-
B.
LAU
LAU is a private, internationally oriented university in Lebanon known for its American-style higher education and multiple campuses.
-
C.
LAWASIA
LAWASIA is a regional association of legal professionals and bar organizations in the Asia-Pacific dedicated to promoting the rule of law, human rights, and legal cooperation.
-
D.
LAK
LAK is the standard abbreviation used to represent the Los Angeles Lakers NBA franchise in scores, statistics, and media.
-
E.
LAA
LAA is the standard Major League Baseball abbreviation for the Los Angeles Angels franchise.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a8862b01a48190ab47209063af82d9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa63c4639c81908b91b2559f0c6a5c |
completed | March 6, 2026, 5:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada0dbc7c081909d637c5a482389ef |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 4, 2026, 7:30 p.m.