Triple
T14872064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arlay |
E349771
|
entity |
| Predicate | nearbyLocality |
P4647
|
FINISHED |
| Object |
Bletterans
Bletterans is a small commune in the Jura department of eastern France, known for its rural character and location in the Bourgogne-Franche-Comté region.
|
E1124249
|
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: Bletterans | Statement: [Arlay, nearbyLocality, Bletterans]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bletterans Context triple: [Arlay, nearbyLocality, Bletterans]
-
A.
Betlan
Betlan is a small village in the Val d'Aran region of Catalonia, Spain, known for its traditional Pyrenean architecture and mountainous surroundings.
-
B.
Aulnat
Aulnat is a commune in central France situated in the Puy-de-Dôme department within the Auvergne region.
-
C.
Baraolt
Baraolt is a small town in central Romania, located in Covasna County within the historical region of Transylvania.
-
D.
Belsand
Belsand is a small town in the Sitamarhi district of the Indian state of Bihar, known primarily as a local administrative and market center for surrounding rural areas.
-
E.
Telnaes
Telnaes is the surname of Ann Telnaes, a Pulitzer Prize–winning editorial cartoonist known for her incisive political commentary.
- 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: Bletterans Triple: [Arlay, nearbyLocality, Bletterans]
Generated description
Bletterans is a small commune in the Jura department of eastern France, known for its rural character and location in the Bourgogne-Franche-Comté region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bletterans Target entity description: Bletterans is a small commune in the Jura department of eastern France, known for its rural character and location in the Bourgogne-Franche-Comté region.
-
A.
Betlan
Betlan is a small village in the Val d'Aran region of Catalonia, Spain, known for its traditional Pyrenean architecture and mountainous surroundings.
-
B.
Aulnat
Aulnat is a commune in central France situated in the Puy-de-Dôme department within the Auvergne region.
-
C.
Baraolt
Baraolt is a small town in central Romania, located in Covasna County within the historical region of Transylvania.
-
D.
Belsand
Belsand is a small town in the Sitamarhi district of the Indian state of Bihar, known primarily as a local administrative and market center for surrounding rural areas.
-
E.
Telnaes
Telnaes is the surname of Ann Telnaes, a Pulitzer Prize–winning editorial cartoonist known for her incisive political commentary.
- 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5e2c94c8190a16f05ea81701fc1 |
completed | April 15, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe65129a588190bbad294b500f411f |
completed | May 8, 2026, 10:34 p.m. |
| NEDg | Description generation | batch_69fe66a5f3a88190827c6c9247323153 |
completed | May 8, 2026, 10:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe6736ff34819098524e4401a414aa |
completed | May 8, 2026, 10:44 p.m. |
Created at: April 10, 2026, 1:55 a.m.