Triple
T18245336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meydan dirt track |
E436935
|
entity |
| Predicate | replacedSurface |
P29646
|
FINISHED |
| Object | Tapeta all-weather track at Meydan |
—
|
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: Tapeta all-weather track at Meydan | Statement: [Meydan dirt track, replacedSurface, Tapeta all-weather track at Meydan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: replacedSurface Context triple: [Meydan dirt track, replacedSurface, Tapeta all-weather track at Meydan]
-
A.
replacedStructure
Indicates that one structure has been substituted for, or taken the place of, another structure.
-
B.
laterSurface
Indicates that one surface or layer occurs or appears at a later time than another surface or layer in a sequence or process.
-
C.
replacedWith
chosen
Indicates that one entity has been substituted or superseded by another entity, taking over its role, function, or position.
-
D.
formerSurface
Indicates that one entity previously served as the surface or outer layer of another entity, but no longer does so.
-
E.
replacedPartOf
Indicates that one entity has taken the place of another entity as a component or part within a larger whole.
- 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_69d8b91104e08190a8241f7d260a5162 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f7e6fbac8190bf252c4337f50c29 |
completed | April 19, 2026, 3:42 p.m. |
| PD | Predicate disambiguation | batch_69e44fcdee748190bae6fb76e0cb22f3 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:33 a.m.