Triple
T18603079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ciarforon |
E454665
|
entity |
| Predicate | nearbyPeak |
P7612
|
FINISHED |
| Object | Tresenta |
—
|
NE NERFINISHED |
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: Tresenta | Statement: [Ciarforon, nearbyPeak, Tresenta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tresenta Context triple: [Ciarforon, nearbyPeak, Tresenta]
-
A.
Tresenta
chosen
Tresenta is a mountain peak in Italy’s Graian Alps, located within the Gran Paradiso massif and popular with alpine climbers.
-
B.
Tretes
Tretes is a cool highland resort town in East Java, Indonesia, known for its mountain scenery, villas, and as a gateway to nearby peaks like Mount Arjuno.
-
C.
Trecento
The Trecento is the 14th-century period of Italian cultural history marked by early Renaissance developments in literature, art, and music.
-
D.
Trisaia
Trisaia is an ENEA research center site in southern Italy known for its activities in energy, environmental, and nuclear technology research.
-
E.
Tredozio
Tredozio is a small Italian municipality in the Emilia-Romagna region, known for its scenic Apennine landscapes and traditional local festivals.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38bbe7c8190bdec3138e7d413c9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54752abec8190a5f4aa84abe8b240 |
completed | April 19, 2026, 9:21 p.m. |
Created at: April 10, 2026, 11:45 a.m.