Triple
T31130537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Large Theatre of Pompeii |
E793489
|
entity |
| Predicate | socialStratificationReflectedIn |
P17561
|
FINISHED |
| Object | seating arrangement |
—
|
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: seating arrangement | Statement: [Large Theatre of Pompeii, socialStratificationReflectedIn, seating arrangement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: socialStratificationReflectedIn Context triple: [Large Theatre of Pompeii, socialStratificationReflectedIn, seating arrangement]
-
A.
socialClassSystem
chosen
Indicates a hierarchical organization of people into social classes based on status, power, or economic position.
-
B.
socialClassAfterWealth
Indicates that an entity’s social class or status is determined or updated based on its level of wealth.
-
C.
socialClassPosition
Indicates the relative social status or rank an entity holds within a social hierarchy or class structure.
-
D.
socialClassContrastWith
Indicates a contrast or difference between the social classes or social standings associated with two entities.
-
E.
hasSocialHierarchyInfluencedBy
Indicates that one social hierarchy is shaped, structured, or affected by another specified factor or hierarchy.
- 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_69f739a638748190808e7a2930dce16e |
completed | May 3, 2026, 12:03 p.m. |
| PD | Predicate disambiguation | batch_69f732f2dc6c8190a4e86da98cc5eb05 |
completed | May 3, 2026, 11:35 a.m. |
Created at: April 29, 2026, 9:05 p.m.