Triple
T6697235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wavre |
E152779
|
entity |
| Predicate | subdivision |
P747
|
FINISHED |
| Object |
Limal
Limal is a residential district and former village within the city of Wavre in Walloon Brabant, Belgium.
|
E610594
|
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: Limal | Statement: [Wavre, subdivision, Limal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Limal Context triple: [Wavre, subdivision, Limal]
-
A.
Lali
Lali is the official mascot character created for the 2017 World Aquatics Championships held in Budapest.
-
B.
Xiu Maya
The Xiu Maya were a prominent Maya noble lineage and ruling family in the Yucatán Peninsula, known for their political influence and shifting alliances during the period of Spanish colonization.
-
C.
Anitta
Anitta is a Brazilian singer, songwriter, and performer known for her influential role in Latin pop and funk carioca and for high-profile international collaborations.
-
D.
Luli
Luli is a dialect of the Paama language, spoken by a subset of Paama speakers in Vanuatu.
-
E.
Yimmi Chará
Yimmi Chará is a Colombian professional footballer known as an attacking winger who has played in top leagues in South America and Major League Soccer.
- 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: Limal Triple: [Wavre, subdivision, Limal]
Generated description
Limal is a residential district and former village within the city of Wavre in Walloon Brabant, Belgium.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Limal Target entity description: Limal is a residential district and former village within the city of Wavre in Walloon Brabant, Belgium.
-
A.
Lali
Lali is the official mascot character created for the 2017 World Aquatics Championships held in Budapest.
-
B.
Xiu Maya
The Xiu Maya were a prominent Maya noble lineage and ruling family in the Yucatán Peninsula, known for their political influence and shifting alliances during the period of Spanish colonization.
-
C.
Anitta
Anitta is a Brazilian singer, songwriter, and performer known for her influential role in Latin pop and funk carioca and for high-profile international collaborations.
-
D.
Luli
Luli is a dialect of the Paama language, spoken by a subset of Paama speakers in Vanuatu.
-
E.
Yimmi Chará
Yimmi Chará is a Colombian professional footballer known as an attacking winger who has played in top leagues in South America and Major League Soccer.
- 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_69c68807adbc8190b8632df42b39eda0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d0a4da9881908d79c410b4cff868 |
completed | March 27, 2026, 6:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f7bd965881908a128d97f1c94dd0 |
completed | March 27, 2026, 9:33 p.m. |
| NEDg | Description generation | batch_69c6f86fb37c8190ba0ed52d998643d6 |
completed | March 27, 2026, 9:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6f8d6c9d481908d988984e0aed6bc |
completed | March 27, 2026, 9:38 p.m. |
Created at: March 27, 2026, 2:05 p.m.