Triple
T4101437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roman Theatre (Amman) |
E87948
|
entity |
| Predicate | seatingSegregationBy |
P15323
|
FINISHED |
| Object | social status |
—
|
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: social status | Statement: [Roman Theatre (Amman), seatingSegregationBy, social status]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seatingSegregationBy Context triple: [Roman Theatre (Amman), seatingSegregationBy, social status]
-
A.
segregationBasis
chosen
Indicates the criterion or characteristic used as the basis for separating or distinguishing one group or set from another.
-
B.
typeOfSegregationAddressed
Indicates the specific form or category of segregation that is being targeted, handled, or dealt with in a given context.
-
C.
stanceOnSegregation
Indicates a person or group’s expressed position, attitude, or viewpoint regarding racial or social segregation.
-
D.
seatingConfiguration
Indicates how seats are arranged or organized relative to each other in a given context.
-
E.
seatCategory
Indicates the classification or type of a seat (e.g., by comfort level, price tier, or section) assigned to an 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_69aed94564cc8190a9c1457daedb6e7f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefd0ed168819093c83ba079d6725c |
completed | March 9, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69aef90b2ef08190ae84febfd69dd48b |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:40 p.m.