Triple
T14232268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strijp, Eindhoven |
E352779
|
entity |
| Predicate | hasSubdivisions |
P747
|
FINISHED |
| Object | Strijp-T |
E71265
|
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: Strijp-T | Statement: [Strijp, Eindhoven, hasSubdivisions, Strijp-T]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Strijp-T Context triple: [Strijp, Eindhoven, hasSubdivisions, Strijp-T]
-
A.
Strijp
chosen
Strijp is a district in the Dutch city of Eindhoven, historically known for its strong association with Philips and its transformation into a creative and cultural hub.
-
B.
The Green Stripe
The Green Stripe is a 1905 Fauvist portrait by Henri Matisse of his wife Amélie, notable for its bold use of a green line to divide and model the face.
-
C.
Racing Stripes
Racing Stripes is a 2005 family sports comedy film about a young zebra who dreams of becoming a racehorse.
-
D.
Strijpen
Strijpen is a village in East Flanders, Belgium, that forms part of the city of Zottegem.
-
E.
Stikker
Stikker is a surname most notably associated with Dirk Stikker, a Dutch politician and diplomat who served as NATO Secretary General.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de622cdd6481908befa179a9675bb5 |
completed | April 14, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3251ec5881909fcebc9477d6a761 |
completed | May 8, 2026, 12:46 a.m. |
Created at: April 10, 2026, 1:07 a.m.