Triple
T17589298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muqaddimah |
E428402
|
entity |
| Predicate | fieldInfluenced |
P29144
|
FINISHED |
| Object | sociology |
—
|
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: sociology | Statement: [Muqaddimah, fieldInfluenced, sociology]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fieldInfluenced Context triple: [Muqaddimah, fieldInfluenced, sociology]
-
A.
impactOnField
Indicates the effect or influence that one entity, action, or development has on a particular field or domain.
-
B.
influenced
Indicates that one entity has affected, shaped, or altered another entity’s state, behavior, or characteristics.
-
C.
typeOfInfluence
Indicates the specific nature or category of influence that one entity exerts on another.
-
D.
inspiredField
chosen
Indicates that one entity served as a source of inspiration or influence for the development, direction, or characteristics of a particular field or domain.
-
E.
influentialFrom
Indicates that one entity has exerted influence on another, contributing to or shaping the latter’s ideas, behavior, or development.
- 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_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e469e62d5c81909134e30a6d0f2e20 |
completed | April 19, 2026, 5:36 a.m. |
| PD | Predicate disambiguation | batch_69e3b4fff0348190b899a32da537eaca |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:51 a.m.