Triple
T15572857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Other Franciscan Sites |
E374290
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Assisi area |
E76823
|
NE 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: Assisi area | Statement: [Other Franciscan Sites, location, Assisi area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Assisi area Context triple: [Other Franciscan Sites, location, Assisi area]
-
A.
Assisi
chosen
Assisi is an Italian hill town in Umbria renowned as the birthplace of St. Francis and a major center of Christian pilgrimage.
-
B.
Chiampo
Chiampo is a town and comune in the Veneto region of northern Italy, known historically for its marble and leather industries.
-
C.
Ariccia
Ariccia is a historic town in the Alban Hills near Rome, known for its Baroque architecture and traditional porchetta.
-
D.
Albergheria district
The Albergheria district is a historic neighborhood in central Palermo, Italy, known for its markets, medieval streets, and rich architectural heritage.
-
E.
Civitanova Marche
Civitanova Marche is a coastal town and popular seaside resort on the Adriatic Sea in the Marche region of central Italy.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e2025888190a2b6240296bba13e |
completed | April 16, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56c231e0819083d6032eb21114b2 |
completed | May 9, 2026, 3:46 p.m. |
Created at: April 10, 2026, 4:10 a.m.