Triple
T30472427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KC (Columbia mid-price series) |
E775340
|
entity |
| Predicate | labelFamily |
P98396
|
FINISHED |
| Object | Columbia budget lines |
—
|
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: Columbia budget lines | Statement: [KC (Columbia mid-price series), labelFamily, Columbia budget lines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: labelFamily Context triple: [KC (Columbia mid-price series), labelFamily, Columbia budget lines]
-
A.
featuresFamilyName
chosen
Indicates that an entity is associated with or displays a particular family name.
-
B.
namedForFamily
Indicates that one entity is named in honor of, or derived from the name of, a particular family or family group.
-
C.
familyNameCategory
Indicates that an entity is associated with a particular classification or grouping based on its family name.
-
D.
nameFamily
Indicates that one entity is the family name (surname) of another entity.
-
E.
identifiedAsFamilyIn
Indicates that one entity is recognized or designated as a family member within the context of a specified group, record, or setting.
- 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_69f22497341481909c21ba329fadaa6b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f697eabb048190bc01a830f14942c6 |
completed | May 3, 2026, 12:33 a.m. |
| PD | Predicate disambiguation | batch_69f69664142c8190bc695501056b0236 |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 29, 2026, 8:11 p.m.