Triple
T572645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eindhoven |
E13694
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object |
Strijp
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.
|
E71265
|
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: Strijp | Statement: [Eindhoven, hasDistrict, Strijp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Strijp Context triple: [Eindhoven, hasDistrict, Strijp]
-
A.
Shompen
The Shompen are an isolated indigenous people of Great Nicobar Island, known for their semi-nomadic forest-based lifestyle and limited contact with the outside world.
-
B.
Black-and-Red
Black-and-Red is the widely used nickname for Major League Soccer club D.C. United, referencing the team’s traditional colors and identity.
-
C.
Neeleman
Neeleman is a surname most notably associated with David Neeleman, the Brazilian-American entrepreneur and founder of multiple airlines including JetBlue Airways.
-
D.
Strijen
Strijen is a small town and former municipality located on the Hoeksche Waard island in the Dutch province of South Holland.
-
E.
Soral
Soral is a small rural municipality in southwestern Switzerland, located in the canton of Geneva near the French border.
- 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: Strijp Triple: [Eindhoven, hasDistrict, Strijp]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Strijp Target entity description: 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.
-
A.
Shompen
The Shompen are an isolated indigenous people of Great Nicobar Island, known for their semi-nomadic forest-based lifestyle and limited contact with the outside world.
-
B.
Black-and-Red
Black-and-Red is the widely used nickname for Major League Soccer club D.C. United, referencing the team’s traditional colors and identity.
-
C.
Neeleman
Neeleman is a surname most notably associated with David Neeleman, the Brazilian-American entrepreneur and founder of multiple airlines including JetBlue Airways.
-
D.
Strijen
Strijen is a small town and former municipality located on the Hoeksche Waard island in the Dutch province of South Holland.
-
E.
Soral
Soral is a small rural municipality in southwestern Switzerland, located in the canton of Geneva near the French border.
- 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_69a4933fa4d88190a7949cc83c08c5c1 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49b49bad88190bc73d31a317c0ef4 |
completed | March 1, 2026, 8:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4fc8617cc8190895504bb3b1c39ed |
completed | March 2, 2026, 2:57 a.m. |
| NEDg | Description generation | batch_69a4fcd2edb081908ec5ed5c8e9a426d |
completed | March 2, 2026, 2:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4fced069881908b40467c9c5b6ac2 |
completed | March 2, 2026, 2:58 a.m. |
Created at: March 1, 2026, 7:33 p.m.