Triple
T21708043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Pouce |
E535821
|
entity |
| Predicate | hasVersion |
P455
|
FINISHED |
| Object | Le Pouce (Malmö) |
—
|
NE NERFINISHED |
How this triple was built (2 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: Le Pouce (Malmö) | Statement: [Le Pouce, hasVersion, Le Pouce (Malmö)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Le Pouce (Malmö) Context triple: [Le Pouce, hasVersion, Le Pouce (Malmö)]
-
A.
Landskrona
Landskrona is a coastal town in southern Sweden known for its historic fortifications, harbor, and role in regional conflicts between Denmark and Sweden.
-
B.
Mölnlycke
Mölnlycke is a locality in western Sweden that serves as the administrative and commercial center of Härryda Municipality in Västra Götaland County.
-
C.
Malmö
chosen
Malmö is a major coastal city in southern Sweden known for its historic center, modern architecture like the Turning Torso, and its role as a cultural and economic hub connected to Copenhagen via the Öresund Bridge.
-
D.
Malm
Malm is a village located within the municipality of Verran in Trøndelag county, Norway.
-
E.
Bromma
Bromma is a suburban district in western Stockholm, Sweden, known for its residential areas, green spaces, and the city’s secondary airport.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c46b44c0819088ab883ebd44e0e8 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efb5314a288190b4b8347cca15aaa8 |
completed | April 27, 2026, 7:12 p.m. |
Created at: April 16, 2026, 6:46 p.m.