Triple
T38082948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orang Pendek |
E950901
|
entity |
| Predicate | reportedRegion |
P189994
|
FINISHED |
| Object | Kerinci Seblat National Park |
—
|
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: Kerinci Seblat National Park | Statement: [Orang Pendek, reportedRegion, Kerinci Seblat National Park]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reportedRegion Context triple: [Orang Pendek, reportedRegion, Kerinci Seblat National Park]
-
A.
registrationRegion
Indicates the geographic or administrative region in which an entity is officially registered.
-
B.
recipientRegion
Indicates the geographic region that receives or is the destination of a transfer, delivery, or directed action.
-
C.
represented region
Indicates that one entity serves as a symbolic or formal depiction of a specific geographic or spatial area.
-
D.
mentionsRegion
Indicates that one entity explicitly refers to or cites a specific geographic region in its content or context.
-
E.
campaignRegion
Indicates the geographic area or territory in which a campaign is conducted or targeted.
- F. None of above. chosen
Provenance (4 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_69f76f03a3608190a73fd6df87c792a8 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc4748843c8190931432653be4890c |
completed | May 7, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69fc45646ce481908caf292ff9f06e15 |
completed | May 7, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69fc4747b06c8190a3ea5331f02eedad |
completed | May 7, 2026, 8:03 a.m. |
Created at: May 3, 2026, 4:21 p.m.