Triple
T5592657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sevel Sud plant, Atessa, Italy |
E146917
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Atessa
Atessa is a town and municipality in the Abruzzo region of central Italy, known for its industrial activity and automotive manufacturing facilities.
|
E533207
|
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: Atessa | Statement: [Sevel Sud plant, Atessa, Italy, locatedIn, Atessa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Atessa Context triple: [Sevel Sud plant, Atessa, Italy, locatedIn, Atessa]
-
A.
Evessa
Evessa is a professional basketball team based in Osaka, Japan, competing in the B.League.
-
B.
Ashti
Ashti is a town in the Wardha district of Maharashtra, India, known primarily as a local administrative and agricultural center.
-
C.
Ateso
Ateso is a Nilotic language spoken primarily by the Teso people of eastern Uganda and western Kenya.
-
D.
Tianeti
Tianeti is a small town and administrative center in eastern Georgia, situated in the mountainous Mtskheta-Mtianeti region.
-
E.
Telesia
Telesia was an important ancient town in the region of Samnium in south-central Italy, known for its strategic and military significance in pre-Roman and Roman times.
- 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: Atessa Triple: [Sevel Sud plant, Atessa, Italy, locatedIn, Atessa]
Generated description
Atessa is a town and municipality in the Abruzzo region of central Italy, known for its industrial activity and automotive manufacturing facilities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Atessa Target entity description: Atessa is a town and municipality in the Abruzzo region of central Italy, known for its industrial activity and automotive manufacturing facilities.
-
A.
Evessa
Evessa is a professional basketball team based in Osaka, Japan, competing in the B.League.
-
B.
Ashti
Ashti is a town in the Wardha district of Maharashtra, India, known primarily as a local administrative and agricultural center.
-
C.
Ateso
Ateso is a Nilotic language spoken primarily by the Teso people of eastern Uganda and western Kenya.
-
D.
Tianeti
Tianeti is a small town and administrative center in eastern Georgia, situated in the mountainous Mtskheta-Mtianeti region.
-
E.
Telesia
Telesia was an important ancient town in the region of Samnium in south-central Italy, known for its strategic and military significance in pre-Roman and Roman times.
- 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_69c009036c408190981a8d690b679b67 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020bb08648190ab1f66cc3e897e6d |
completed | March 22, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0286b4d2c8190a3224f3082316dc8 |
completed | March 22, 2026, 5:35 p.m. |
| NEDg | Description generation | batch_69c0372e86c08190bf586256cab23d22 |
completed | March 22, 2026, 6:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c038e5dccc8190a5e1ec45712c00a3 |
completed | March 22, 2026, 6:45 p.m. |
Created at: March 22, 2026, 3:38 p.m.