Triple
T13515361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Ancona |
E322745
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Loreto |
E266884
|
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: Loreto | Statement: [Province of Ancona, contains, Loreto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Loreto Context triple: [Province of Ancona, contains, Loreto]
-
A.
Loreto
Loreto is a historic coastal town in Baja California Sur, Mexico, known as one of the earliest Spanish settlements in the region and a gateway to the rich marine life of the Gulf of California.
-
B.
Loreto, Italy
chosen
Loreto, Italy is a renowned Catholic pilgrimage town in the Marche region, best known for the Basilica della Santa Casa, which houses the Holy House of Nazareth and a revered Marian shrine.
-
C.
San Leonardo
San Leonardo is a landlocked agricultural municipality in the province of Nueva Ecija in the Philippines, known for its rice farming and rural communities.
-
D.
Loretto
Loretto is a small town in central Kentucky best known as the home of the Maker’s Mark bourbon distillery.
-
E.
Loretto
Loretto is a small city located in Hennepin County in the U.S. state of Minnesota.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafa0ed508190b2855171b1945e84 |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75494642881909f33962afe26f427 |
completed | May 3, 2026, 1:58 p.m. |
Created at: April 9, 2026, 9:44 p.m.