Triple
T35699802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fodor’s modularity thesis |
E1031544
|
entity |
| Predicate | characterizesModulesAs |
P151774
|
FINISHED |
| Object | domain-specific |
—
|
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: domain-specific | Statement: [Fodor’s modularity thesis, characterizesModulesAs, domain-specific]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterizesModulesAs Context triple: [Fodor’s modularity thesis, characterizesModulesAs, domain-specific]
-
A.
moduleType
Indicates the classification or category of a module in terms of its functional or structural type.
-
B.
theoryCharacterization
chosen
Indicates that one entity provides a defining description, formulation, or account of a theory associated with another entity.
-
C.
characterizedBy
Indicates that one entity possesses a defining quality, feature, or attribute expressed by another entity.
-
D.
moduleOf
Indicates that one entity functions as a component or sub-unit that belongs to, or is contained within, another larger entity.
-
E.
usedForCharacterizationOf
Indicates that something is employed to describe, distinguish, or determine the characteristics or identity of 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_69f76e0d393c8190b6303c64408736db |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ffaa7bc45c8190b907db8579244a7b |
completed | May 9, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69ffa9f6c9a481908fbd4d18b311cbe2 |
completed | May 9, 2026, 9:41 p.m. |
Created at: May 3, 2026, 4:05 p.m.