Triple
T27028542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicano studies |
E680852
|
entity |
| Predicate | includesMethodsFrom |
P33646
|
FINISHED |
| Object | history |
—
|
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: history | Statement: [Chicano studies, includesMethodsFrom, history]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesMethodsFrom Context triple: [Chicano studies, includesMethodsFrom, history]
-
A.
usesMethods
chosen
Indicates that one entity employs, applies, or relies on specific methods or techniques to perform an action or achieve a result.
-
B.
includesClasses
Indicates that one entity contains or encompasses one or more class-type entities as part of its definition or structure.
-
C.
includedWith
Indicates that one entity is provided or packaged together as part of another entity.
-
D.
includesSee
Indicates that one entity’s scope, content, or experience contains or encompasses the act of seeing or visual perception involving another entity.
-
E.
includesAPI
Indicates that one entity provides or contains an application programming interface (API) that can be used by another entity.
- 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_69eeeb5566f08190813daf896fa3da04 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69fdb04ed81c8190b8feea90c1c785a6 |
completed | May 8, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_69fda9d6c5148190a63205b6d9b0a1b4 |
completed | May 8, 2026, 9:16 a.m. |
Created at: April 27, 2026, 7:12 a.m.