Triple
T22098998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laguindingan Airport |
E546116
|
entity |
| Predicate | cityServed |
P82
|
FINISHED |
| Object | Jasaan |
—
|
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: Jasaan | Statement: [Laguindingan Airport, cityServed, Jasaan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jasaan Context triple: [Laguindingan Airport, cityServed, Jasaan]
-
A.
Jasaan
chosen
Jasaan is a coastal municipality in Misamis Oriental, Philippines, known for its beaches, marine resources, and proximity to the urban center of Cagayan de Oro.
-
B.
Joppe
Joppe is a specific area or water body within the Kagerplassen lake district in the Netherlands, known for recreational boating and watersports.
-
C.
Jooris
Jooris is the namesake of Stade Grimonprez-Jooris, a football stadium in Lille, France, likely honoring a notable local figure.
-
D.
Toorop
Toorop is the surname of Jan Toorop, a prominent Dutch-Indonesian painter associated with Symbolism and Art Nouveau.
-
E.
Danneels
Danneels is a Belgian surname most notably associated with Cardinal Godfried Danneels, a prominent Roman Catholic prelate and former Archbishop of Mechelen-Brussels.
- 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_69e11e36d03c8190a83a1ba802b7231b |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129131b4c8190b443bc820d9b5c61 |
completed | April 28, 2026, 9:39 p.m. |
Created at: April 16, 2026, 8:30 p.m.