Triple
T25163925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alberobello |
E630118
|
entity |
| Predicate | numberOfTrulli |
P175942
|
FINISHED |
| Object | over 1500 |
—
|
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: over 1500 | Statement: [Alberobello, numberOfTrulli, over 1500]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTrulli Context triple: [Alberobello, numberOfTrulli, over 1500]
-
A.
numberOfTowers
Indicates the quantity of towers associated with or contained by a given entity.
-
B.
numberOfTerraces
Indicates the total count of terraces associated with a given entity.
-
C.
hasEtruscanWalls
Indicates that something possesses or is surrounded by walls built in the Etruscan architectural style or period.
-
D.
numberOfTunnels
Indicates the quantity of tunnels associated with or passing through a given entity or location.
-
E.
numberOfTents
Indicates the quantity of tents associated with a given entity or context.
- F. None of above. chosen
Provenance (4 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_69e75a87c9b88190ab60731902a99750 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f6db3606808190a80c6e9f5da5b33e |
completed | May 3, 2026, 5:20 a.m. |
| PD | Predicate disambiguation | batch_69f6d82adfa481908a5e196d2e18c73f |
completed | May 3, 2026, 5:07 a.m. |
| PDg | Predicate description generation | batch_69f6db1bc348819097c844f76e2fa4fe |
completed | May 3, 2026, 5:20 a.m. |
Created at: April 21, 2026, 12:15 p.m.