Triple
T23484485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FC Utrecht |
E570495
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object |
Domstedelingen
Domstedelingen is the nickname of Dutch football club FC Utrecht, referring to its roots in the city of Utrecht, home of the Dom Tower.
|
E1587513
|
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: Domstedelingen | Statement: [FC Utrecht, hasNickname, Domstedelingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Domstedelingen Context triple: [FC Utrecht, hasNickname, Domstedelingen]
-
A.
Standens Barn
Standens Barn is a residential area and housing estate in Northampton, England, situated on the eastern side of the town.
-
B.
Damstredet
Damstredet is a historic, cobblestoned street in central Oslo, Norway, known for its well-preserved wooden houses from the 18th and 19th centuries.
-
C.
Pilestredet
Pilestredet is a central street in Oslo, Norway, known for hosting parts of Oslo Metropolitan University's main campus and various urban institutions.
-
D.
Pilerne
Pilerne is a village in North Goa, India, known for its scenic landscapes, salt pans, and proximity to popular coastal and urban areas like Candolim and Panaji.
-
E.
Fleringen
Fleringen is a small village in the municipality of Dinkelland in the province of Overijssel in the eastern Netherlands.
- 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: Domstedelingen Triple: [FC Utrecht, hasNickname, Domstedelingen]
Generated description
Domstedelingen is the nickname of Dutch football club FC Utrecht, referring to its roots in the city of Utrecht, home of the Dom Tower.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Domstedelingen Target entity description: Domstedelingen is the nickname of Dutch football club FC Utrecht, referring to its roots in the city of Utrecht, home of the Dom Tower.
-
A.
Standens Barn
Standens Barn is a residential area and housing estate in Northampton, England, situated on the eastern side of the town.
-
B.
Damstredet
Damstredet is a historic, cobblestoned street in central Oslo, Norway, known for its well-preserved wooden houses from the 18th and 19th centuries.
-
C.
Pilestredet
Pilestredet is a central street in Oslo, Norway, known for hosting parts of Oslo Metropolitan University's main campus and various urban institutions.
-
D.
Pilerne
Pilerne is a village in North Goa, India, known for its scenic landscapes, salt pans, and proximity to popular coastal and urban areas like Candolim and Panaji.
-
E.
Fleringen
Fleringen is a small village in the municipality of Dinkelland in the province of Overijssel in the eastern Netherlands.
- 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_69e245b0b01481908f636939bedd804c |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a752c678819087e5c50b8cf87d3d |
completed | April 29, 2026, 6:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c826a3c088190ae29a5c3224052fd |
completed | May 19, 2026, 3:31 p.m. |
| NEDg | Description generation | batch_6a0ca6f159488190bcde44676ddce593 |
completed | May 19, 2026, 6:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ca754878c8190a918fa3b349fd970 |
completed | May 19, 2026, 6:09 p.m. |
Created at: April 17, 2026, 6:03 p.m.