Triple
T22287212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sevel Sud joint venture |
E550894
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Atessa |
—
|
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: Atessa | Statement: [Sevel Sud joint venture, locatedIn, Atessa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Atessa Context triple: [Sevel Sud joint venture, locatedIn, Atessa]
-
A.
Atessa
chosen
Atessa is a town and municipality in the Abruzzo region of central Italy, known for its industrial activity and automotive manufacturing facilities.
-
B.
Aresia
Aresia is a DC Comics supervillain and original animated character who opposes the Justice League, often associated with the Injustice Gang.
-
C.
Arnara
Arnara is a small municipality in the Lazio region of central Italy, located in the province of Frosinone.
-
D.
Aridia
Aridia is a sparsely populated, low-security region in the EVE Online universe known for its isolation, chokepoints, and frequent pirate activity.
-
E.
Akhras
Akhras is a Syrian-origin family name best known for being the maiden surname of Asma al-Assad, the First Lady of Syria.
- 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_69e11e44d538819097c6b8f333af3352 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1560896348190985725ac8ad406b3 |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 16, 2026, 8:40 p.m.