Triple
T6615580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Gymnasium |
E149341
|
entity |
| Predicate | hasNumberOfArenasInComplex |
P71531
|
FINISHED |
| Object | one of the main arenas |
—
|
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: one of the main arenas | Statement: [First Gymnasium, hasNumberOfArenasInComplex, one of the main arenas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfArenasInComplex Context triple: [First Gymnasium, hasNumberOfArenasInComplex, one of the main arenas]
-
A.
hasNumberOfCentres
Indicates the relationship specifying how many centers (or central units/locations) are associated with a given entity.
-
B.
hasNumberOfEntrances
Indicates the relationship that specifies how many entrances an entity possesses.
-
C.
hasNumberOfArches
Indicates the relationship specifying how many arches are present in or associated with a given entity.
-
D.
numberOfChambers
Indicates the count of distinct chambers or compartments associated with an entity.
-
E.
numberOfDomes
Indicates the quantity of domes that an entity possesses or is associated with.
- 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_69c687ebc680819094caf71faba2efe2 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6bdb88cc881908f35648c15a7dc85 |
completed | March 27, 2026, 5:26 p.m. |
| PD | Predicate disambiguation | batch_69c6ad007c1c8190af425f51011c7ad1 |
completed | March 27, 2026, 4:14 p.m. |
| PDg | Predicate description generation | batch_69c6bdb76ec48190b59d576170970cc9 |
completed | March 27, 2026, 5:26 p.m. |
Created at: March 27, 2026, 1:57 p.m.