Triple
T4259557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Villeurbanne |
E96069
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object |
Abanilla
Abanilla is a municipality in the Region of Murcia in southeastern Spain, known for its traditional agriculture and historic religious festivities.
|
E427436
|
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: Abanilla | Statement: [Villeurbanne, hasTwinTown, Abanilla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abanilla Context triple: [Villeurbanne, hasTwinTown, Abanilla]
-
A.
Bhaca
Bhaca are a Xhosa-related ethnic group of South Africa known for their distinct language variety, cultural traditions, and historical chiefdoms in the Eastern Cape region.
-
B.
Aniba
Aniba was an ancient Nubian settlement in Lower Nubia that served as an important Egyptian administrative and military center, especially during the Middle and New Kingdoms.
-
C.
Banna
Banna is the Latin name of Birdoswald Roman Fort, a key military site along Hadrian’s Wall in Roman Britain.
-
D.
Naranjal
Naranjal is a town and canton in southwestern Ecuador known for its agricultural production and location within Guayas Province.
-
E.
Kambalda
Kambalda is a mining town in Western Australia known for its significant nickel deposits and location near Lake Lefroy.
- 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: Abanilla Triple: [Villeurbanne, hasTwinTown, Abanilla]
Generated description
Abanilla is a municipality in the Region of Murcia in southeastern Spain, known for its traditional agriculture and historic religious festivities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Abanilla Target entity description: Abanilla is a municipality in the Region of Murcia in southeastern Spain, known for its traditional agriculture and historic religious festivities.
-
A.
Bhaca
Bhaca are a Xhosa-related ethnic group of South Africa known for their distinct language variety, cultural traditions, and historical chiefdoms in the Eastern Cape region.
-
B.
Aniba
Aniba was an ancient Nubian settlement in Lower Nubia that served as an important Egyptian administrative and military center, especially during the Middle and New Kingdoms.
-
C.
Banna
Banna is the Latin name of Birdoswald Roman Fort, a key military site along Hadrian’s Wall in Roman Britain.
-
D.
Naranjal
Naranjal is a town and canton in southwestern Ecuador known for its agricultural production and location within Guayas Province.
-
E.
Kambalda
Kambalda is a mining town in Western Australia known for its significant nickel deposits and location near Lake Lefroy.
- 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_69b3454095ac81909c2494f7ff294af1 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34f7fe7348190baed8d214268b756 |
completed | March 12, 2026, 11:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b78825508190b2b6ca46c8e1b27c |
completed | March 14, 2026, 7:31 p.m. |
| NEDg | Description generation | batch_69b5b84b58a081909618d0c108317f92 |
completed | March 14, 2026, 7:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5b8be90c88190a4852c625e326f6b |
completed | March 14, 2026, 7:36 p.m. |
Created at: March 12, 2026, 11:06 p.m.