Triple
T20159921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LAIA |
E491675
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | LAIA |
—
|
NE NERFINISHED |
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: LAIA | Statement: [LAIA, abbreviation, LAIA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LAIA Context triple: [LAIA, abbreviation, LAIA]
-
A.
LAIA
chosen
LAIA is a regional organization that promotes economic integration and cooperation among Latin American countries.
-
B.
LOLA
LOLA is the commonly used abbreviation for "Law & Order: LA," a short-lived spin-off of the long-running "Law & Order" television franchise set in Los Angeles.
-
C.
LOLA
LOLA is a laser altimeter instrument aboard NASA's Lunar Reconnaissance Orbiter used to precisely map the Moon's topography.
-
D.
LAU
LAU is the vehicle registration code for the German town of Lauf an der Pegnitz in Bavaria.
-
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.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667e37c8c8190827839291027d9e2 |
completed | April 20, 2026, 5:52 p.m. |
Created at: April 11, 2026, 11:34 p.m.