Triple
T22287191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Val di Sangro plant |
E550893
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object |
Sevel Sud
Sevel Sud is an Italian automotive manufacturing company best known for producing light commercial vehicles at the Val di Sangro plant in Abruzzo.
|
E1528413
|
NE FINISHED |
How this triple was built (4 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: Sevel Sud | Statement: [Val di Sangro plant, operator, Sevel Sud]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sevel Sud Context triple: [Val di Sangro plant, operator, Sevel Sud]
-
A.
Sulem
Sulem is a modern locality believed by some scholars to correspond to the ancient biblical town of Shunem in present-day Israel.
-
B.
Suhre
The Suhre is a river in Switzerland that flows through the cantons of Lucerne and Aargau before joining the Aare.
-
C.
Sääre
Sääre is a small village in southwestern Estonia, located on the Sõrve Peninsula of Saaremaa Island and known for its lighthouse and coastal scenery.
-
D.
Sulzeer
Sulzeer is the given first name of former English professional footballer and central defender Sol Campbell.
-
E.
Sa’och
Sa’och is an indigenous Pearic language (and its associated ethnic group) of mainland Southeast Asia, traditionally spoken by a small community in Cambodia and nearby regions.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sevel Sud Triple: [Val di Sangro plant, operator, Sevel Sud]
Generated description
Sevel Sud is an Italian automotive manufacturing company best known for producing light commercial vehicles at the Val di Sangro plant in Abruzzo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sevel Sud Target entity description: Sevel Sud is an Italian automotive manufacturing company best known for producing light commercial vehicles at the Val di Sangro plant in Abruzzo.
-
A.
Sulem
Sulem is a modern locality believed by some scholars to correspond to the ancient biblical town of Shunem in present-day Israel.
-
B.
Suhre
The Suhre is a river in Switzerland that flows through the cantons of Lucerne and Aargau before joining the Aare.
-
C.
Sääre
Sääre is a small village in southwestern Estonia, located on the Sõrve Peninsula of Saaremaa Island and known for its lighthouse and coastal scenery.
-
D.
Sulzeer
Sulzeer is the given first name of former English professional footballer and central defender Sol Campbell.
-
E.
Sa’och
Sa’och is an indigenous Pearic language (and its associated ethnic group) of mainland Southeast Asia, traditionally spoken by a small community in Cambodia and nearby regions.
- F. None of above. chosen
Provenance (5 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0abcadc3e081908e98e6810b3cba6e |
completed | May 18, 2026, 7:15 a.m. |
| NEDg | Description generation | batch_6a0abda9a0f08190945fbf26bf893642 |
completed | May 18, 2026, 7:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0abef28a9481908c67d1eb401147d4 |
completed | May 18, 2026, 7:25 a.m. |
Created at: April 16, 2026, 8:40 p.m.