Triple
T18322596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lessines |
E438919
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Enghien
Enghien is a town in the Walloon region of Belgium, known for its historic park and castle.
|
E1318851
|
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: Enghien | Statement: [Lessines, locatedNear, Enghien]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Enghien Context triple: [Lessines, locatedNear, Enghien]
-
A.
Enghien
Enghien is a historic French territorial title and locality traditionally associated with the ducal house of Condé.
-
B.
Gouin
Gouin is a French surname most notably associated with Félix Gouin, a mid-20th-century French socialist politician and former head of government.
-
C.
De Marne
De Marne was a former municipality in the province of Groningen in the Netherlands, known for its rural landscape and coastal location along the Wadden Sea.
-
D.
Pontgouin
Pontgouin is a small commune in northern France’s Eure-et-Loir department, known for its rural setting and the Eure River running through it.
-
E.
Boucau
Boucau is a small commune in southwestern France’s Pyrénées-Atlantiques department, near the Atlantic coast and the city of Bayonne.
- 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: Enghien Triple: [Lessines, locatedNear, Enghien]
Generated description
Enghien is a town in the Walloon region of Belgium, known for its historic park and castle.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Enghien Target entity description: Enghien is a town in the Walloon region of Belgium, known for its historic park and castle.
-
A.
Enghien
Enghien is a historic French territorial title and locality traditionally associated with the ducal house of Condé.
-
B.
Gouin
Gouin is a French surname most notably associated with Félix Gouin, a mid-20th-century French socialist politician and former head of government.
-
C.
De Marne
De Marne was a former municipality in the province of Groningen in the Netherlands, known for its rural landscape and coastal location along the Wadden Sea.
-
D.
Pontgouin
Pontgouin is a small commune in northern France’s Eure-et-Loir department, known for its rural setting and the Eure River running through it.
-
E.
Boucau
Boucau is a small commune in southwestern France’s Pyrénées-Atlantiques department, near the Atlantic coast and the city of Bayonne.
- 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50aa886508190902ffc26b30731ae |
completed | April 19, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03c4c8224c819085369e23b7265dcb |
completed | May 13, 2026, 12:24 a.m. |
| NEDg | Description generation | batch_6a03c6397260819085b81b68cac69907 |
completed | May 13, 2026, 12:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03c84f469c8190aef27154c17fd652 |
completed | May 13, 2026, 12:39 a.m. |
Created at: April 10, 2026, 10:36 a.m.