Triple
T6532611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canino, Viterbo |
E152267
|
entity |
| Predicate | hasLocationDescription |
P3024
|
FINISHED |
| Object | small town in the Lazio region of central Italy |
—
|
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: small town in the Lazio region of central Italy | Statement: [Canino, Viterbo, hasLocationDescription, small town in the Lazio region of central Italy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLocationDescription Context triple: [Canino, Viterbo, hasLocationDescription, small town in the Lazio region of central Italy]
-
A.
locationDescription
chosen
Indicates a textual description that specifies or characterizes the location of an entity.
-
B.
hasLocationRole
Indicates that an entity holds or plays a specific role in relation to a particular location (e.g., origin, destination, storage site, or operational area).
-
C.
placeDescribed
Indicates that one entity provides a description or account of a particular place or location.
-
D.
hasLocationCity
Indicates that an entity is situated in, occurs in, or is associated with a specific city as its location.
-
E.
hasLocationComponent
Indicates that something includes, is associated with, or is composed of a specific location-related part or element.
- 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_69c688048ec8819093a47f7d332e12ec |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6adbe168881908ffefc4962e2893d |
completed | March 27, 2026, 4:18 p.m. |
| PD | Predicate disambiguation | batch_69c68abd9c7c819099e4fe8097cd1b28 |
completed | March 27, 2026, 1:48 p.m. |
Created at: March 27, 2026, 1:46 p.m.