Triple
T35157949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cisternino |
E1015179
|
entity |
| Predicate | hasOldTownQuarter |
P295
|
FINISHED |
| Object | Bère Vècchie |
—
|
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: Bère Vècchie | Statement: [Cisternino, hasOldTownQuarter, Bère Vècchie]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOldTownQuarter Context triple: [Cisternino, hasOldTownQuarter, Bère Vècchie]
-
A.
hasHistoricTownSquare
Indicates that an entity possesses or includes a town square that is of historical significance.
-
B.
isInOldTownArea
Indicates that an entity is located within the designated old town area of a place.
-
C.
isFromCityWithHistoricArchitecture
Indicates that an entity originates from a city known for its historically significant or architecturally notable buildings and structures.
-
D.
hasHistoricDistrict
chosen
Indicates that an entity possesses or contains a designated historic district within its boundaries or domain.
-
E.
hasHistoricCenterNearby
Indicates that one entity is located close to another entity that serves as a historic center or historically significant core area.
- 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_69f76ddb3a708190b521ba2970b17178 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78cf39b9c81909268933e60276acf |
completed | May 3, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69f78b9106008190930b3b3675b737d6 |
completed | May 3, 2026, 5:53 p.m. |
Created at: May 3, 2026, 4:02 p.m.