Triple
T710656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gelderland |
E14197
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Tiel
Tiel is a historic Dutch city situated along the River Waal, known for its fruit cultivation and role as a regional trade center in the province of Gelderland.
|
E94139
|
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: Tiel | Statement: [Gelderland, containsCity, Tiel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tiel Context triple: [Gelderland, containsCity, Tiel]
-
A.
Tiso
Tiso is the surname of Jozef Tiso, the Slovak Catholic priest and politician who led the Nazi-aligned Slovak Republic during World War II.
-
B.
Nischel
Nischel is the local colloquial nickname for the large Karl Marx Monument in Chemnitz, Germany.
-
C.
Nowra
Nowra is a regional town in New South Wales, Australia, situated on the Shoalhaven River and serving as a commercial and administrative centre for the surrounding South Coast area.
-
D.
Breyten
Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
-
E.
Trauen
Trauen is a village in Lower Saxony, Germany, known for hosting a research facility of the German Aerospace Center (DLR).
- 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: Tiel Triple: [Gelderland, containsCity, Tiel]
Generated description
Tiel is a historic Dutch city situated along the River Waal, known for its fruit cultivation and role as a regional trade center in the province of Gelderland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tiel Target entity description: Tiel is a historic Dutch city situated along the River Waal, known for its fruit cultivation and role as a regional trade center in the province of Gelderland.
-
A.
Tiso
Tiso is the surname of Jozef Tiso, the Slovak Catholic priest and politician who led the Nazi-aligned Slovak Republic during World War II.
-
B.
Nischel
Nischel is the local colloquial nickname for the large Karl Marx Monument in Chemnitz, Germany.
-
C.
Nowra
Nowra is a regional town in New South Wales, Australia, situated on the Shoalhaven River and serving as a commercial and administrative centre for the surrounding South Coast area.
-
D.
Breyten
Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
-
E.
Trauen
Trauen is a village in Lower Saxony, Germany, known for hosting a research facility of the German Aerospace Center (DLR).
- 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_69a493494ec48190ae6751683625a9ba |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a55c99fc8190941c5fd18551792a |
completed | March 1, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a678759a2881909da848991d7d3ef4 |
completed | March 3, 2026, 5:58 a.m. |
| NEDg | Description generation | batch_69a67d508f0481908311da68827a764e |
completed | March 3, 2026, 6:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a67dd7fa6c8190bb05449c87ab02f4 |
completed | March 3, 2026, 6:21 a.m. |
Created at: March 1, 2026, 7:36 p.m.