Triple
T29776068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diocese of Massa Carrara-Pontremoli |
E755381
|
entity |
| Predicate | hasCoSeeCity |
P178903
|
FINISHED |
| Object | Pontremoli |
—
|
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: Pontremoli | Statement: [Diocese of Massa Carrara-Pontremoli, hasCoSeeCity, Pontremoli]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoSeeCity Context triple: [Diocese of Massa Carrara-Pontremoli, hasCoSeeCity, Pontremoli]
-
A.
hasSeeCity
Indicates that an entity has visited or observed a particular city.
-
B.
hasMetropolitanSeeCity
Indicates that an ecclesiastical jurisdiction is associated with, or headquartered in, a particular metropolitan (principal) city.
-
C.
hasMetropolitanSee
Indicates that one ecclesiastical jurisdiction serves as the metropolitan (primary or overseeing) see in relation to another church territory.
-
D.
coSeeCity
chosen
Indicates that two or more entities jointly see or observe the same city.
-
E.
cityVisited
Indicates that an entity has traveled to and spent time in a particular city.
- 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_69f0ef878574819088c867fd1a5c8b86 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_6a00a22e32f481909b6006c5b1cdefd3 |
completed | May 10, 2026, 3:20 p.m. |
| PD | Predicate disambiguation | batch_6a00a1bd9c908190b4aa17a61f48126f |
completed | May 10, 2026, 3:18 p.m. |
Created at: April 28, 2026, 8:46 p.m.