Triple
T16539578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roya valley |
E401784
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object | Fontan |
E1198814
|
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: Fontan | Statement: [Roya valley, hasVillage, Fontan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fontan Context triple: [Roya valley, hasVillage, Fontan]
-
A.
Fontan
Fontan is a fictional character named Nana Fontan, likely appearing in a narrative work such as a novel, film, or television series.
-
B.
Fontan
chosen
Fontan is a small village in southeastern France’s Roya Valley, known for its picturesque mountain setting and traditional Provençal character.
-
C.
Fassel
Fassel is a surname most notably associated with Jim Fassel, a former head coach of the New York Giants in the National Football League.
-
D.
Fontane
Fontane is a German surname most famously borne by Theodor Fontane, a 19th-century realist novelist and poet.
-
E.
Cardia
Cardia was an ancient Greek city in the Thracian Chersonese, known as the birthplace of the historian and general Eumenes.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3455bd43c8190b01560d4af55a9e0 |
completed | April 18, 2026, 8:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0067ae169c81909a123b7dfe3fd906 |
completed | May 10, 2026, 11:10 a.m. |
Created at: April 10, 2026, 5:15 a.m.