Triple
T23949689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chile national transport system |
E603010
|
entity |
| Predicate | otherMajorAirportCity |
P21859
|
FINISHED |
| Object | Concepción |
—
|
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: Concepción | Statement: [Chile national transport system, otherMajorAirportCity, Concepción]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: otherMajorAirportCity Context triple: [Chile national transport system, otherMajorAirportCity, Concepción]
-
A.
otherMajorAirportInRegion
Indicates that the subject airport is a different major airport located within the same geographic region as the object airport.
-
B.
otherMajorCity
chosen
Indicates that one city is another major city associated with or comparable in importance or status to the first city.
-
C.
hasMajorAirport
Indicates that a location possesses at least one significant airport that serves as a primary hub for air travel in that area.
-
D.
otherAirportOfCity
Indicates that the subject airport is another airport serving the same city as the object airport.
-
E.
otherMajorHub
Indicates that an entity is another primary hub or central node within the same network or system as the reference entity.
- F. None of above.
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_69e2953e4924819093f1c24c03476b42 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d03140f08190b4356626628ff56f |
completed | April 29, 2026, 9:32 a.m. |
| PD | Predicate disambiguation | batch_69f1615518088190a206f54e2fdb14a3 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:19 p.m.