Triple
T10619371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waremme |
E295667
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Lantremange
Lantremange is a village in the municipality of Waremme in the province of Liège, Belgium.
|
E875461
|
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: Lantremange | Statement: [Waremme, contains, Lantremange]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lantremange Context triple: [Waremme, contains, Lantremange]
-
A.
Haine-Saint-Pierre
Haine-Saint-Pierre is a district of the city of La Louvière in the province of Hainaut, Belgium, known historically for its industrial and railway heritage.
-
B.
Vallières
Vallières is a commune in the Nord-Est department of Haiti, known as a small rural settlement within the country’s northern region.
-
C.
Lavaltrie
Lavaltrie is a suburban municipality in southwestern Quebec, Canada, located northeast of Montreal along the north shore of the Saint Lawrence River.
-
D.
Lantheuil
Lantheuil is a small commune in the Calvados department of the Normandy region in northwestern France.
-
E.
Marquenterre
Marquenterre is a coastal natural area in northern France renowned for its dunes, wetlands, and rich birdlife, particularly within the Baie de Somme.
- 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: Lantremange Triple: [Waremme, contains, Lantremange]
Generated description
Lantremange is a village in the municipality of Waremme in the province of Liège, Belgium.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lantremange Target entity description: Lantremange is a village in the municipality of Waremme in the province of Liège, Belgium.
-
A.
Haine-Saint-Pierre
Haine-Saint-Pierre is a district of the city of La Louvière in the province of Hainaut, Belgium, known historically for its industrial and railway heritage.
-
B.
Vallières
Vallières is a commune in the Nord-Est department of Haiti, known as a small rural settlement within the country’s northern region.
-
C.
Lavaltrie
Lavaltrie is a suburban municipality in southwestern Quebec, Canada, located northeast of Montreal along the north shore of the Saint Lawrence River.
-
D.
Lantheuil
Lantheuil is a small commune in the Calvados department of the Normandy region in northwestern France.
-
E.
Marquenterre
Marquenterre is a coastal natural area in northern France renowned for its dunes, wetlands, and rich birdlife, particularly within the Baie de Somme.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d6df6ee1848190a7d5fcd40b06cfe3 |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96b86a5bc8190863034cc91fdbbb9 |
completed | April 10, 2026, 9:28 p.m. |
| NEDg | Description generation | batch_69d96def8bfc81909d6a5addf724691b |
completed | April 10, 2026, 9:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d96fedb18881908570593856f4aade |
completed | April 10, 2026, 9:47 p.m. |
Created at: April 8, 2026, 8:21 p.m.