Triple
T37527627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Painted Colonnade |
E932947
|
entity |
| Predicate | locatedOnSideOfAgora |
P31095
|
FINISHED |
| Object | north side of the Agora of Athens |
—
|
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: north side of the Agora of Athens | Statement: [Painted Colonnade, locatedOnSideOfAgora, north side of the Agora of Athens]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedOnSideOfAgora Context triple: [Painted Colonnade, locatedOnSideOfAgora, north side of the Agora of Athens]
-
A.
positionOnAcropolis
Indicates that something is located on or occupies a position on the Acropolis.
-
B.
situatedOnSideOf
chosen
Indicates that one entity is located along or beside the lateral part or edge of another entity.
-
C.
locatedOnSideOfGreekMainland
Indicates that one place is situated on the side of the Greek mainland relative to another reference point or area.
-
D.
amphitheatreInstanceOf
Indicates that an entity is classified as, or is an instance of, an amphitheatre.
-
E.
locatedOnBuilding
Indicates that one entity is physically situated on the exterior or rooftop surface of a building.
- 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_69f76ec8862c8190bfa24145f5480642 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1553e08190bb7424c448cb1f33 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:17 p.m.