Triple
T1969717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Long Beach Airport |
E42770
|
entity |
| Predicate | FAAcode |
P420
|
FINISHED |
| Object | LGB |
E219406
|
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: LGB | Statement: [Long Beach Airport, FAAcode, LGB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LGB Context triple: [Long Beach Airport, FAAcode, LGB]
-
A.
LGB
chosen
LGB is the IATA airport code for Long Beach Airport, a public airport serving the Long Beach and greater Los Angeles area in California.
-
B.
LBG
LBG is the IATA airport code for Paris–Le Bourget Airport, a historic airfield near Paris known for hosting the Paris Air Show.
-
C.
LGBTPeople
LGBTPeople are individuals whose sexual orientation or gender identity differs from heterosexual and cisgender norms, including lesbian, gay, bisexual, transgender, and other queer identities.
-
D.
Gay
Gay is a common English surname borne by various notable individuals across fields such as academia, politics, and the arts.
-
E.
GNQ
GNQ is the three-letter ISO 3166-1 alpha-3 country code assigned to Equatorial Guinea.
- 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_69a88711151c8190940b2572095059d7 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb3d17274819084cd352a3d2a8151 |
completed | March 7, 2026, 5:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae03211fe48190b70814bdd35e8a6b |
completed | March 8, 2026, 11:15 p.m. |
Created at: March 4, 2026, 7:36 p.m.