Triple
T8090313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cadishead |
E188841
|
entity |
| Predicate | developmentInfluencedBy |
P45664
|
FINISHED |
| Object | industrial development |
—
|
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: industrial development | Statement: [Cadishead, developmentInfluencedBy, industrial development]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: developmentInfluencedBy Context triple: [Cadishead, developmentInfluencedBy, industrial development]
-
A.
influencedWork
Indicates that one work has had a significant impact on the creation, style, content, or development of another work.
-
B.
hadInfluenceOn
chosen
Indicates that one entity affected, shaped, or contributed to the development, behavior, or characteristics of another entity.
-
C.
placeOfInfluence
Indicates the location or area where an entity exerts significant impact, authority, or cultural, social, or intellectual influence.
-
D.
designInfluenceOn
Indicates that one design, designer, or design-related factor has an effect on shaping, guiding, or altering another design or design outcome.
-
E.
influencedFormationOf
Indicates that one entity played a significant role in shaping, initiating, or contributing to the development or establishment 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_69ca82b7b3e88190b9041ab0ef28b3cb |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb421e30e88190b9699b338b69b81c |
completed | March 31, 2026, 3:40 a.m. |
| PD | Predicate disambiguation | batch_69cb04a14cd88190a79ed26cbeec1c33 |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:29 p.m.