Triple
T25152058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terlizzi |
E630103
|
entity |
| Predicate | distanceFromBari |
P106692
|
FINISHED |
| Object | about 30 km northwest |
—
|
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: about 30 km northwest | Statement: [Terlizzi, distanceFromBari, about 30 km northwest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromBari Context triple: [Terlizzi, distanceFromBari, about 30 km northwest]
-
A.
distanceToBari
chosen
Indicates the measured distance between a given entity (such as a place or object) and the location of Bari.
-
B.
distanceToBrindisi
Indicates the measured or specified distance between a given entity or location and the city of Brindisi.
-
C.
distanceToBega_km
Indicates the physical distance, measured in kilometers, between a given location and Bega.
-
D.
distanceFromMilan
Indicates the spatial distance between a given entity and the city of Milan.
-
E.
distanceFromPavia
Indicates the spatial distance between a given entity or location and the city of Pavia.
- 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_69e2ff349e408190a6f4a5a66279f54d |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc53f4f881908dcc698687bbb64d |
completed | May 3, 2026, 7:42 a.m. |
Created at: April 18, 2026, 6:30 a.m.