Triple
T19631970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cooling Towers series |
E471292
|
entity |
| Predicate | typologyOf |
P5753
|
FINISHED |
| Object | industrial structures |
—
|
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 structures | Statement: [Cooling Towers series, typologyOf, industrial structures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typologyOf Context triple: [Cooling Towers series, typologyOf, industrial structures]
-
A.
typology
chosen
Indicates a classification relationship in which entities are grouped or organized according to shared types, patterns, or structural characteristics.
-
B.
personalityType
Indicates the specific psychological or behavioral profile that characterizes an entity’s typical patterns of thinking, feeling, and acting.
-
C.
typeOfAncestry
Indicates that one entity’s ancestry or lineage is characterized as being of a particular type or origin in relation to another entity.
-
D.
theoryType
Indicates the classification relationship that specifies what type or category of theory an entity belongs to.
-
E.
typeOfCharacter
Indicates that one entity is a specific kind or category of character in relation to 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_69d8e511f28481909f4bc3ea9191e54a |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e641036ee881909fdd8170fe4cdac9 |
completed | April 20, 2026, 3:06 p.m. |
| PD | Predicate disambiguation | batch_69e514e5cb108190ae260e466c447314 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:44 p.m.