Triple
T16692772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arènes de Nîmes |
E405633
|
entity |
| Predicate | arenaLength |
P124271
|
FINISHED |
| Object | about 68 meters |
—
|
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: about 68 meters | Statement: [Arènes de Nîmes, arenaLength, about 68 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: arenaLength Context triple: [Arènes de Nîmes, arenaLength, about 68 meters]
-
A.
arenaType
Indicates the specific kind or category of arena associated with an entity or event.
-
B.
parkLength
Indicates the measured longitudinal extent or distance from one end to the other of a park.
-
C.
arenaUsed
Indicates that a particular arena or venue is utilized or has been employed for a specific event, activity, or purpose.
-
D.
fieldSize
Indicates the magnitude or dimensions of a field associated with an entity or context.
-
E.
lengthRegime
Indicates a specific range or category of length within which something operates, is measured, or is classified.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37eaacb948190954231c9e97a4adf |
completed | April 18, 2026, 12:52 p.m. |
| PD | Predicate disambiguation | batch_69e319bc73908190a0e38bc926b31f10 |
completed | April 18, 2026, 5:42 a.m. |
| PDg | Predicate description generation | batch_69e326b9e84881909a9166e65bd850d6 |
completed | April 18, 2026, 6:37 a.m. |
Created at: April 10, 2026, 5:19 a.m.