Triple
T29318677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Civitanova Marche–Montegranaro |
E743450
|
entity |
| Predicate | adjacentMunicipalityServed |
P33892
|
FINISHED |
| Object | Montegranaro |
—
|
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: Montegranaro | Statement: [Civitanova Marche–Montegranaro, adjacentMunicipalityServed, Montegranaro]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adjacentMunicipalityServed Context triple: [Civitanova Marche–Montegranaro, adjacentMunicipalityServed, Montegranaro]
-
A.
hasAdjacentMunicipalitiesServed
Indicates that a municipality has neighboring municipalities that are also served by the same service, system, or administrative arrangement.
-
B.
neighbouringMunicipality
chosen
Indicates that one municipality directly borders and is adjacent to another municipality.
-
C.
nearbyCityServed
Indicates that a city is geographically close enough to another city to be considered within its service or support area.
-
D.
servesAsMunicipalAuthorityFor
Indicates that an entity functions as the official municipal governing or administrative authority for a specified locality or jurisdiction.
-
E.
townServed
Indicates that a given service, facility, or infrastructure serves or provides coverage to a particular town.
- 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_69f0912502c8819087d9e8398ee991a8 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f6f8565134819096aac0175f924a9f |
completed | May 3, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69f6f65fd1d08190b88e5e68ba268500 |
completed | May 3, 2026, 7:16 a.m. |
Created at: April 28, 2026, 1:21 p.m.