Triple
T9945832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FAT table |
E195200
|
entity |
| Predicate | entryRepresents |
P53520
|
FINISHED |
| Object | cluster |
—
|
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: cluster | Statement: [FAT table, entryRepresents, cluster]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: entryRepresents Context triple: [FAT table, entryRepresents, cluster]
-
A.
memberRepresents
Indicates that one entity serves as an official representative or delegate acting on behalf of another entity within a group, organization, or body.
-
B.
fieldRepresents
chosen
Indicates that one field or attribute stands for, encodes, or symbolizes another concept, value, or entity.
-
C.
componentRepresents
Indicates that one component stands in for, symbolizes, or models another entity or concept within a system or context.
-
D.
areRepresentedBy
Indicates that one entity serves as a representation, proxy, or stand-in for another entity.
-
E.
isRepresentiveOf
Indicates that one entity serves as an official agent, spokesperson, or proxy acting on behalf 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_69ca82e96a108190932bd1fc4acd73a0 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb655fba0819084a1e757b68c25d4 |
completed | April 2, 2026, 12:20 a.m. |
| PD | Predicate disambiguation | batch_69cd1d97c44081908730071269f07712 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:45 p.m.