Triple
T31130534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Large Theatre of Pompeii |
E793489
|
entity |
| Predicate | hasSeatingDivision |
P31103
|
FINISHED |
| Object | ima cavea |
—
|
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: ima cavea | Statement: [Large Theatre of Pompeii, hasSeatingDivision, ima cavea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSeatingDivision Context triple: [Large Theatre of Pompeii, hasSeatingDivision, ima cavea]
-
A.
hasSeatingSections
chosen
Indicates that an entity is divided into distinct seating areas or sections designated for occupants.
-
B.
hasSeatingClassification
Indicates that an entity is assigned a specific type or category of seating arrangement or capacity.
-
C.
hasSeating
Indicates that one entity provides or contains seating capacity or seating arrangements for another entity.
-
D.
seatCategory
Indicates the classification or type of a seat (e.g., by comfort level, price tier, or section) assigned to an entity.
-
E.
hasBandSeating
Indicates that a venue or location provides designated seating specifically for a band or musical ensemble.
- 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_69f224d1701c819094f429798290e361 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fee25dbca481909e6f1c255122b3a8 |
completed | May 9, 2026, 7:29 a.m. |
| PD | Predicate disambiguation | batch_69fee1c8915c8190b08b63e42881f1a9 |
completed | May 9, 2026, 7:27 a.m. |
Created at: April 29, 2026, 9:05 p.m.