Triple
T13017738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Treaty of Tolentino |
E322596
|
entity |
| Predicate | locationSigned |
P441
|
FINISHED |
| Object | Tolentino, Marche |
E629136
|
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: Tolentino, Marche | Statement: [Treaty of Tolentino, locationSigned, Tolentino, Marche]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tolentino, Marche Context triple: [Treaty of Tolentino, locationSigned, Tolentino, Marche]
-
A.
Tolentino
chosen
Tolentino is a historic town in Italy’s Marche region, known for its religious heritage and association with Saint Nicholas of Tolentino.
-
B.
Civitanova Marche
Civitanova Marche is a coastal town and popular seaside resort on the Adriatic Sea in the Marche region of central Italy.
-
C.
Teramo
Teramo is a historic city in the Abruzzo region of central Italy, known for its Roman archaeological remains and medieval architecture.
-
D.
Terni
Terni is an industrial city in the Umbria region of central Italy, known for its steel production and historic Roman and medieval heritage.
-
E.
Termoli
Termoli is a coastal town and popular seaside resort on the Adriatic Sea in southern Italy, known for its historic old town and beaches.
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97ece22908190a0941e23df7c774d |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c1147974819090007c21383d5c86 |
completed | May 3, 2026, 3:29 a.m. |
Created at: April 9, 2026, 8:51 p.m.