Triple
T19956908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quarterbridge |
E479706
|
entity |
| Predicate | hasRacingUseSince |
P138017
|
FINISHED |
| Object | early 20th century |
—
|
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: early 20th century | Statement: [Quarterbridge, hasRacingUseSince, early 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRacingUseSince Context triple: [Quarterbridge, hasRacingUseSince, early 20th century]
-
A.
hasRacingCode
Indicates that an entity is associated with a specific racing classification or identifier code.
-
B.
hasRaceSession
Indicates that an entity is associated with, participates in, or is scheduled for a specific race session.
-
C.
racedIn
Indicates that an entity participated as a competitor in a particular race or racing event.
-
D.
hasRacingSide
Indicates that an entity possesses or is associated with a side or aspect specifically dedicated to racing.
-
E.
racedAs
Indicates that one entity participated in a race or competition under the identity, name, or classification of another entity.
- F. None of above. chosen
Provenance (4 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65af08e008190a3a1b807b638a99e |
completed | April 20, 2026, 4:57 p.m. |
| PD | Predicate disambiguation | batch_69e537f7e4848190b431a69ec3f1b609 |
completed | April 19, 2026, 8:15 p.m. |
| PDg | Predicate description generation | batch_69e543c42c688190a22f4d31ec692377 |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 10, 2026, 1:54 p.m.