Triple
T25351453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hildred Geertz |
E635696
|
entity |
| Predicate | primaryFieldworkRegion |
P49766
|
FINISHED |
| Object | Java |
—
|
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: Java | Statement: [Hildred Geertz, primaryFieldworkRegion, Java]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryFieldworkRegion Context triple: [Hildred Geertz, primaryFieldworkRegion, Java]
-
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.
studiesRegion
Indicates that an entity engages in the academic or systematic study of a particular geographic or cultural region.
-
D.
studiedInRegion
Indicates that an entity pursued studies or received education within a specified geographic region.
-
E.
primaryRegionOfStudy
Indicates the main geographic or topical region that is the focus of an entity’s academic or research study.
- 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_69e75a9ac5d881909387ed766e20cd47 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f7688dd3d08190ad13d0e780570a1c |
completed | May 3, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69f767fcf2f881908bacc7bfc38e68a5 |
completed | May 3, 2026, 3:21 p.m. |
Created at: April 21, 2026, 1:34 p.m.