Triple
T32313050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temple B |
E825552
|
entity |
| Predicate | orientedTowards |
P1101
|
FINISHED |
| Object | theater of Pietrabbondante |
—
|
NE NERFINISHED |
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: theater of Pietrabbondante | Statement: [Temple B, orientedTowards, theater of Pietrabbondante]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: orientedTowards Context triple: [Temple B, orientedTowards, theater of Pietrabbondante]
-
A.
orientedFrom
Indicates that one entity has a defined direction or orientation starting at or determined by another reference entity.
-
B.
orientation
chosen
Indicates the relative directional alignment or facing of one entity with respect to another or to a reference frame.
-
C.
orientationInducedBy
Indicates that the orientation of one entity is determined or caused by the orientation or configuration of another entity.
-
D.
orientationType
Indicates the specific kind or category of orientation relationship that exists between entities (such as spatial, directional, or alignment-based orientation).
-
E.
ориентация
Indicates the spatial or directional alignment of one entity relative to another or to a reference frame.
- 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_69f3491213b88190a57094d8697a7455 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c1bb5f248190834161b5a6ba1ece |
completed | May 3, 2026, 3:32 a.m. |
| PD | Predicate disambiguation | batch_69f6bd25bed08190befcabd3a41ffadf |
completed | May 3, 2026, 3:12 a.m. |
Created at: May 1, 2026, 12:46 a.m.