Triple
T4112054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herod's Gate |
E90198
|
entity |
| Predicate | locatedOnSideOfOldCity |
P31095
|
FINISHED |
| Object | northern wall |
—
|
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: northern wall | Statement: [Herod's Gate, locatedOnSideOfOldCity, northern wall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedOnSideOfOldCity Context triple: [Herod's Gate, locatedOnSideOfOldCity, northern wall]
-
A.
locatedInOldCity
Indicates that an entity is situated within the boundaries of an old or historic part of a city.
-
B.
situatedOnSideOf
chosen
Indicates that one entity is located along or beside the lateral part or edge of another entity.
-
C.
locatedInAncientCity
Indicates that an entity is situated within the boundaries or domain of an ancient city.
-
D.
hasCitySide
Indicates that one entity is located on or corresponds to a particular side or area of a city relative to another entity.
-
E.
locationSide
Indicates that one entity is positioned on a particular side (e.g., left, right, front, back) relative to another entity or reference point.
- 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_69aed95c080881908125e30c5dcdc6f8 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af03d7240c8190a64dcbc669772808 |
completed | March 9, 2026, 5:31 p.m. |
| PD | Predicate disambiguation | batch_69af0183eb84819087d7184de28f5514 |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:41 p.m.