Triple
T1648004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thame |
E35624
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object |
Montesson
Montesson is a suburban commune in the Yvelines department of north-central France, located to the northwest of Paris along the Seine River.
|
E187926
|
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: Montesson | Statement: [Thame, hasTwinTown, Montesson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Montesson Context triple: [Thame, hasTwinTown, Montesson]
-
A.
Peney-Dessous
Peney-Dessous is a small village in the municipality of Satigny in the canton of Geneva, Switzerland.
-
B.
Ganthier
Ganthier is a commune in western Haiti known for its rural character and proximity to the capital, Port-au-Prince.
-
C.
Margeride
Margeride is a mountainous and sparsely populated region in south-central France known for its granite plateaus, forests, and traditional rural landscapes.
-
D.
Aubusson
Aubusson is a town in central France renowned for its centuries-old tradition of tapestry and carpet weaving.
-
E.
Peney-Dessus
Peney-Dessus is a small village within the municipality of Satigny in the canton of Geneva, Switzerland, known for its rural character and surrounding vineyards.
- 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: Montesson Triple: [Thame, hasTwinTown, Montesson]
Generated description
Montesson is a suburban commune in the Yvelines department of north-central France, located to the northwest of Paris along the Seine River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Montesson Target entity description: Montesson is a suburban commune in the Yvelines department of north-central France, located to the northwest of Paris along the Seine River.
-
A.
Peney-Dessous
Peney-Dessous is a small village in the municipality of Satigny in the canton of Geneva, Switzerland.
-
B.
Ganthier
Ganthier is a commune in western Haiti known for its rural character and proximity to the capital, Port-au-Prince.
-
C.
Margeride
Margeride is a mountainous and sparsely populated region in south-central France known for its granite plateaus, forests, and traditional rural landscapes.
-
D.
Aubusson
Aubusson is a town in central France renowned for its centuries-old tradition of tapestry and carpet weaving.
-
E.
Peney-Dessus
Peney-Dessus is a small village within the municipality of Satigny in the canton of Geneva, Switzerland, known for its rural character and surrounding vineyards.
- 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_69a8860568888190a32cd9f70acbba42 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90a640ea88190822906da575d5165 |
completed | March 5, 2026, 4:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad681db3408190a3b469e319486419 |
completed | March 8, 2026, 12:14 p.m. |
| NEDg | Description generation | batch_69ad692a4078819080c3a89166917081 |
completed | March 8, 2026, 12:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad698929f88190af97fc915d29a5b5 |
completed | March 8, 2026, 12:20 p.m. |
Created at: March 4, 2026, 7:29 p.m.