Triple
T3384414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PSV Eindhoven |
E71261
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Rood-witten
Rood-witten is a popular nickname for PSV Eindhoven, referring to the club’s traditional red-and-white team colors.
|
E352789
|
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: Rood-witten | Statement: [PSV Eindhoven, nickname, Rood-witten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rood-witten Context triple: [PSV Eindhoven, nickname, Rood-witten]
-
A.
Rood
Rood is a surname most notably associated with Ogden Rood, an American physicist and color theorist known for his influential work on color science.
-
B.
Blaauw
Blaauw is a Dutch surname most notably associated with Gerrit Blaauw, a pioneering computer architect involved in the design of early IBM systems.
-
C.
Borouge
Borouge is a leading petrochemicals company based in the United Arab Emirates, specializing in the production of polyolefins for packaging, infrastructure, and industrial applications.
-
D.
Blau
The Blau is a small river in the German state of Baden-Württemberg that flows through the city of Blaustein before joining the Danube.
-
E.
Ruodhaid
Ruodhaid was one of Charlemagne’s daughters, a Carolingian princess known primarily through her familial connection to the Frankish emperor.
- 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: Rood-witten Triple: [PSV Eindhoven, nickname, Rood-witten]
Generated description
Rood-witten is a popular nickname for PSV Eindhoven, referring to the club’s traditional red-and-white team colors.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rood-witten Target entity description: Rood-witten is a popular nickname for PSV Eindhoven, referring to the club’s traditional red-and-white team colors.
-
A.
Rood
Rood is a surname most notably associated with Ogden Rood, an American physicist and color theorist known for his influential work on color science.
-
B.
Blaauw
Blaauw is a Dutch surname most notably associated with Gerrit Blaauw, a pioneering computer architect involved in the design of early IBM systems.
-
C.
Borouge
Borouge is a leading petrochemicals company based in the United Arab Emirates, specializing in the production of polyolefins for packaging, infrastructure, and industrial applications.
-
D.
Blau
The Blau is a small river in the German state of Baden-Württemberg that flows through the city of Blaustein before joining the Danube.
-
E.
Ruodhaid
Ruodhaid was one of Charlemagne’s daughters, a Carolingian princess known primarily through her familial connection to the Frankish emperor.
- 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_69ad85a8fd9c819095ecedf838d2bf1b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb5ec85d08190b28110157c39435f |
completed | March 8, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b33452d79081909bf6955289e0dece |
completed | March 12, 2026, 9:46 p.m. |
| NEDg | Description generation | batch_69b334f75e708190aed8b388c9ea55d2 |
completed | March 12, 2026, 9:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3359ab56881908e247ba54c7dd6c7 |
completed | March 12, 2026, 9:52 p.m. |
Created at: March 8, 2026, 3:14 p.m.