Triple
T11052709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haaksbergen |
E261296
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Twente |
E87641
|
NE FINISHED |
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: Twente | Statement: [Haaksbergen, region, Twente]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Twente Context triple: [Haaksbergen, region, Twente]
-
A.
Twente
chosen
Twente is a historical and cultural region in the eastern Netherlands known for its rural landscapes, industrial heritage, and cities such as Enschede and Hengelo.
-
B.
FC Twente
FC Twente is a professional football club from Enschede in the Netherlands, known for competing in the Eredivisie and winning the Dutch league title in 2010.
-
C.
SC Heerenveen
SC Heerenveen is a Dutch professional football club based in Heerenveen, known for competing in the Eredivisie and developing young talent.
-
D.
AZ Alkmaar
AZ Alkmaar is a Dutch professional football club based in Alkmaar, known for competing in the Eredivisie and developing talented players for top European leagues.
-
E.
FC Utrecht
FC Utrecht is a professional Dutch football club based in Utrecht that competes in the Eredivisie and is regarded as one of the country’s prominent teams.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7986c0df88190b29d71db5538450a |
completed | April 9, 2026, 12:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3aa1c2d9c8190959e28ccef4e0f6d |
completed | April 18, 2026, 3:58 p.m. |
Created at: April 8, 2026, 9:26 p.m.