Triple
T10602648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | cognitive science |
E275788
|
entity |
| Predicate | integratesApproachesFrom |
P10363
|
FINISHED |
| Object | psychology |
—
|
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: psychology | Statement: [cognitive science, integratesApproachesFrom, psychology]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: integratesApproachesFrom Context triple: [cognitive science, integratesApproachesFrom, psychology]
-
A.
includesApproach
chosen
Indicates that one entity incorporates, utilizes, or is characterized by a particular method, strategy, or approach in relation to another entity or context.
-
B.
approaches
Indicates that one entity moves closer in position or state to another entity or reference point.
-
C.
integratedFrom
Indicates that something has been formed or constructed by combining or incorporating elements originating from another source.
-
D.
compositionalApproach
Indicates an approach where something is constructed, analyzed, or understood as a combination of smaller constituent parts and their arrangement.
-
E.
integrates
Indicates that one entity combines or brings together another entity or set of entities into a unified, functioning whole.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df4992248190b640d743ccf02c82 |
completed | April 8, 2026, 11:05 p.m. |
| PD | Predicate disambiguation | batch_69d6dd72c1288190adbb5e79e94c044a |
completed | April 8, 2026, 10:57 p.m. |
Created at: April 8, 2026, 7:31 p.m.