Triple
T9218467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bertogne |
E221298
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Longchamps
Longchamps is a village in the municipality of Bertogne in the province of Luxembourg, Belgium.
|
E786053
|
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: Longchamps | Statement: [Bertogne, hasSubdivision, Longchamps]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Longchamps Context triple: [Bertogne, hasSubdivision, Longchamps]
-
A.
Berluti
Berluti is a French luxury brand renowned for its high-end men's shoes, leather goods, and bespoke tailoring.
-
B.
Lemaire
Lemaire is a French surname borne by various notable figures in fields such as sports, politics, and the arts.
-
C.
Loewe
Loewe is a Spanish luxury fashion house renowned for its high-end leather goods, ready-to-wear, and accessories.
-
D.
Louis Vuitton
Louis Vuitton is a French luxury fashion house and brand renowned worldwide for its high-end leather goods, ready-to-wear, accessories, and iconic monogram designs.
-
E.
Denis of Paris
Denis of Paris is a 3rd-century Christian martyr and bishop, venerated as the patron saint of Paris and traditionally regarded as one of the city’s earliest evangelizers.
- 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: Longchamps Triple: [Bertogne, hasSubdivision, Longchamps]
Generated description
Longchamps is a village in the municipality of Bertogne in the province of Luxembourg, Belgium.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Longchamps Target entity description: Longchamps is a village in the municipality of Bertogne in the province of Luxembourg, Belgium.
-
A.
Berluti
Berluti is a French luxury brand renowned for its high-end men's shoes, leather goods, and bespoke tailoring.
-
B.
Lemaire
Lemaire is a French surname borne by various notable figures in fields such as sports, politics, and the arts.
-
C.
Loewe
Loewe is a Spanish luxury fashion house renowned for its high-end leather goods, ready-to-wear, and accessories.
-
D.
Louis Vuitton
Louis Vuitton is a French luxury fashion house and brand renowned worldwide for its high-end leather goods, ready-to-wear, accessories, and iconic monogram designs.
-
E.
Denis of Paris
Denis of Paris is a 3rd-century Christian martyr and bishop, venerated as the patron saint of Paris and traditionally regarded as one of the city’s earliest evangelizers.
- 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_69ca83eae42c8190a0ea9e040710a277 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda730f688190b64b2cc8c4898ac3 |
completed | April 1, 2026, 8:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0662427dc81908cb9bfacc5b9e0f5 |
completed | April 4, 2026, 1:15 a.m. |
| NEDg | Description generation | batch_69d0697b506c8190b14acbec1266f4bc |
completed | April 4, 2026, 1:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d06a01520081908f697cf285c88c00 |
completed | April 4, 2026, 1:31 a.m. |
Created at: March 30, 2026, 7:27 p.m.