Triple
T713940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boasian school of anthropology |
E14269
|
entity |
| Predicate | academicContext |
P19810
|
FINISHED |
| Object | United States anthropology departments |
—
|
LITERAL FINISHED |
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: United States anthropology departments | Statement: [Boasian school of anthropology, academicContext, United States anthropology departments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: academicContext Context triple: [Boasian school of anthropology, academicContext, United States anthropology departments]
-
A.
academicFocus
Indicates the primary field of study, discipline, or subject area that an entity concentrates on academically.
-
B.
academicEmphasis
Indicates a focus or concentration of study or specialization within an academic program or curriculum.
-
C.
academicSupport
Indicates that one entity provides educational assistance, guidance, or resources to help another entity succeed academically.
-
D.
academicType
Indicates the specific academic category or classification associated with an entity (such as a work, program, or role).
-
E.
academicAdvisor
Indicates that one entity serves as the academic advisor, providing formal guidance and oversight on academic matters, to another entity.
- 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_69a4934a36e081909e7abef98b898a4e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a77fcc6881908a025bb21e44ad56 |
completed | March 1, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69a4a4f221b081909fbaa689fb20eb3e |
completed | March 1, 2026, 8:43 p.m. |
| PDg | Predicate description generation | batch_69a4a77e42e081909a6f2d1bfdc78ef0 |
completed | March 1, 2026, 8:54 p.m. |
Created at: March 1, 2026, 7:36 p.m.