Triple
T19917083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seymour Airport |
E478692
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object | SEGS |
—
|
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: SEGS | Statement: [Seymour Airport, ICAOcode, SEGS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SEGS Context triple: [Seymour Airport, ICAOcode, SEGS]
-
A.
SEGS
chosen
SEGS is the ICAO airport code for Seymour Airport, the main air gateway to the Galápagos Islands located on Baltra Island, Ecuador.
-
B.
SÉG
SÉG is the station code for Ségur, a Paris Métro station on Line 10 in the 15th arrondissement of Paris, France.
-
C.
SEGU
SEGU is the ICAO airport code for José Joaquín de Olmedo International Airport, the main air gateway serving Guayaquil, Ecuador.
-
D.
Seg-El
Seg-El is the protagonist of the TV series "Krypton," a young Kryptonian and grandfather of Superman who fights to restore his family's honor and save his planet's future.
-
E.
SEGOT
SEGOT is the UN/LOCODE identifier for the Port of Gothenburg, Sweden’s largest seaport and a major logistics hub in Northern Europe.
- 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_69d8e521855c8190b41871700afc8d6a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65995bd60819097cfad003dd29731 |
completed | April 20, 2026, 4:51 p.m. |
Created at: April 10, 2026, 1:53 p.m.