Triple
T10491567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puyo Airport |
E247431
|
entity |
| Predicate | hasPushpinLabel |
P13793
|
FINISHED |
| Object | PYO |
E867544
|
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: PYO | Statement: [Puyo Airport, hasPushpinLabel, PYO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PYO Context triple: [Puyo Airport, hasPushpinLabel, PYO]
-
A.
PYO
chosen
PYO is the IATA airport code for Puyo Airport, which serves the town of Puyo in Ecuador.
-
B.
Pyong
Pyong is a Korean given name element commonly used in personal names, particularly in North Korea.
-
C.
PYG
PYG is the National Rail station code for Paisley Gilmour Street, a major railway station in Paisley, Scotland.
-
D.
PY
PY is the two-letter ISO 3166-1 alpha-2 country code assigned to Paraguay.
-
E.
YPJ
YPJ is an all-female Kurdish militia in northern Syria known for its prominent role in the fight against ISIS and its advocacy of gender equality.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5097e1c888190bc8e039f2e46181e |
completed | April 7, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90dd040f48190a645ebd131f9205c |
completed | April 10, 2026, 2:48 p.m. |
Created at: April 6, 2026, 12:24 p.m.