Triple
T31922598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antoinette Schapper |
E815010
|
entity |
| Predicate | regionOfFieldwork |
P49766
|
FINISHED |
| Object | eastern Indonesia |
—
|
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: eastern Indonesia | Statement: [Antoinette Schapper, regionOfFieldwork, eastern Indonesia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionOfFieldwork Context triple: [Antoinette Schapper, regionOfFieldwork, eastern Indonesia]
-
A.
subregionOfFieldwork
Indicates that one fieldwork area is a smaller, contained subregion within another, larger fieldwork area.
-
B.
placeOfFieldwork
chosen
Indicates the location where a person conducts or has conducted their fieldwork activities.
-
C.
fieldworkCountry
Indicates the country in which the fieldwork or on-site research activity takes place.
-
D.
studiesRegion
Indicates that an entity engages in the academic or systematic study of a particular geographic or cultural region.
-
E.
regionOfMigration
Indicates the geographic area from which an entity or population moves or migrates.
- 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_69f348f1df848190851bbfb988da3414 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69feb8e856d48190aa34ad8ee8376e1c |
completed | May 9, 2026, 4:32 a.m. |
| PD | Predicate disambiguation | batch_69feb82a2b6c8190a473cc25976897be |
completed | May 9, 2026, 4:29 a.m. |
Created at: May 1, 2026, 12:03 a.m.