Triple
T24628366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chile–Argentina relations |
E609602
|
entity |
| Predicate | shareRegion |
P23812
|
FINISHED |
| Object | Patagonia |
—
|
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: Patagonia | Statement: [Chile–Argentina relations, shareRegion, Patagonia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shareRegion Context triple: [Chile–Argentina relations, shareRegion, Patagonia]
-
A.
shareRegionalIdentityWith
Indicates that two entities are perceived to belong to or identify with the same geographic, cultural, or regional community.
-
B.
sharesAreaWith
chosen
Indicates that two entities occupy or overlap the same geographic or spatial area.
-
C.
sharedStadiumRegion
Indicates that two or more entities use stadiums located within the same geographic region.
-
D.
sharesDomainWith
Indicates that two entities operate within, belong to, or are associated with the same domain or domain-like scope.
-
E.
shareNotableBorderRegion
Indicates that two entities share a common border in a region that is particularly significant or notable (e.g., historically, politically, or geographically).
- 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_69e2c4d1d3708190a0f2dc6a3a8523bb |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6d0ab708190b2e3b94dd20ca76b |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:32 a.m.