Triple
T26858481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gamboa, Panama |
E676259
|
entity |
| Predicate | hasNearbyResearchSite |
P111661
|
FINISHED |
| Object | Barro Colorado Island |
—
|
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: Barro Colorado Island | Statement: [Gamboa, Panama, hasNearbyResearchSite, Barro Colorado Island]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyResearchSite Context triple: [Gamboa, Panama, hasNearbyResearchSite, Barro Colorado Island]
-
A.
hasNearbyResearchStations
chosen
Indicates that one entity has research stations located in close geographical proximity to it.
-
B.
containsResearchStation
Indicates that one entity geographically includes or hosts a research station within its boundaries.
-
C.
hasNearbyArchaeologicalSite
Indicates that an entity is located close to or in the vicinity of an archaeological site.
-
D.
nearbyResearchStationFormerName
Indicates that a nearby research station previously had a different name, specifying that former name.
-
E.
nearestResearchStation
Indicates that one research station is the closest in distance to a given location or entity compared to all other research stations.
- 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_69eee9b9d7708190a15d7485709ae981 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f7b5ccbda481908fe1945c35e36ce8 |
completed | May 3, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c06f5881908f0b98cad6796478 |
completed | May 3, 2026, 8:49 p.m. |
Created at: April 27, 2026, 5:23 a.m.