Triple
T28067394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hornsey, London, England |
E709291
|
entity |
| Predicate | originalBaseOf |
P2909
|
FINISHED |
| Object | Lotus Cars |
—
|
NE NERFINISHED |
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: Lotus Cars | Statement: [Hornsey, London, England, originalBaseOf, Lotus Cars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalBaseOf Context triple: [Hornsey, London, England, originalBaseOf, Lotus Cars]
-
A.
originalFor
Indicates that one entity serves as the source, basis, or prototype from which another entity is derived, adapted, or created.
-
B.
mainBase
chosen
Indicates that one entity serves as the primary or central base or headquarters for another entity.
-
C.
usesBase
Indicates that one entity relies on or operates using another entity as its foundational resource, framework, or reference point.
-
D.
isBasedOn
Indicates that one entity is derived from, inspired by, or developed using the content, structure, or principles of another entity.
-
E.
hasBaseOn
Indicates that one entity is supported by, rests upon, or is structurally or conceptually founded on 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_69ef9b6eb6d88190a3fea236eb0f7bed |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69fe6e492bf8819080b25221d13445ea |
completed | May 8, 2026, 11:14 p.m. |
| PD | Predicate disambiguation | batch_69fe6dd33a6881908fe9bbbc184cab51 |
completed | May 8, 2026, 11:12 p.m. |
Created at: April 27, 2026, 8:43 p.m.