Triple
T15002314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Topino |
E374119
|
entity |
| Predicate | hasMouthNear |
P350
|
FINISHED |
| Object | Torgiano |
E379812
|
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: Torgiano | Statement: [Topino, hasMouthNear, Torgiano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Torgiano Context triple: [Topino, hasMouthNear, Torgiano]
-
A.
Torgiano
chosen
Torgiano is a historic town in the Umbria region of central Italy, known for its wine production and scenic riverside setting.
-
B.
San Terenzo
San Terenzo is a small coastal village in Liguria, Italy, known for its scenic beaches, historic castle, and views across the Gulf of La Spezia.
-
C.
Monterubbiano
Monterubbiano is a historic hilltop town in Italy’s Marche region, known for its medieval architecture and panoramic views over the surrounding countryside.
-
D.
Todi
Todi is a historic hilltop town in central Italy known for its medieval architecture, scenic views over the Tiber Valley, and well-preserved city walls and churches.
-
E.
Montefiascone
Montefiascone is a historic hilltop town in Italy’s Lazio region, known for its scenic views over Lake Bolsena and its production of the Est! Est!! Est!!! white wine.
- 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7312ae48190bdaf91ecced6657e |
completed | April 15, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff218f11008190bd4837f900746d1a |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 2:54 a.m.