Triple
T22154045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montferland |
E547486
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Kilder
Kilder is a village in the municipality of Montferland in the province of Gelderland in the Netherlands.
|
E1521869
|
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: Kilder | Statement: [Montferland, containsSettlement, Kilder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kilder Context triple: [Montferland, containsSettlement, Kilder]
-
A.
Fontes
Fontes is a civil parish located within the municipality of Abrantes in central Portugal.
-
B.
Fontes
Fontes is a large-scale installation artwork by Brazilian conceptual artist Cildo Meireles that immerses viewers in a dense field of suspended rulers and clocks to explore themes of measurement, power, and perception.
-
C.
Source
Source is Valve Corporation’s proprietary 3D game engine known for powering titles like Half-Life 2, Portal, and Team Fortress 2, featuring advanced physics, facial animation, and mod support.
-
D.
Soure
Soure is a Portuguese municipality located in the central region within the Coimbra District, known for its rural landscapes and historical heritage.
-
E.
Sourz
Sourz is a popular range of brightly colored, fruit-flavored liqueurs known for their sweet-and-sour taste, commonly used as shots and in mixed drinks.
- 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: Kilder Triple: [Montferland, containsSettlement, Kilder]
Generated description
Kilder is a village in the municipality of Montferland in the province of Gelderland in the Netherlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kilder Target entity description: Kilder is a village in the municipality of Montferland in the province of Gelderland in the Netherlands.
-
A.
Fontes
Fontes is a civil parish located within the municipality of Abrantes in central Portugal.
-
B.
Fontes
Fontes is a large-scale installation artwork by Brazilian conceptual artist Cildo Meireles that immerses viewers in a dense field of suspended rulers and clocks to explore themes of measurement, power, and perception.
-
C.
Source
Source is Valve Corporation’s proprietary 3D game engine known for powering titles like Half-Life 2, Portal, and Team Fortress 2, featuring advanced physics, facial animation, and mod support.
-
D.
Soure
Soure is a Portuguese municipality located in the central region within the Coimbra District, known for its rural landscapes and historical heritage.
-
E.
Sourz
Sourz is a popular range of brightly colored, fruit-flavored liqueurs known for their sweet-and-sour taste, commonly used as shots and in mixed drinks.
- 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_69e11e3b52088190ad5df386d01eb2fb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129f6d5b88190badee2e515a3b633 |
completed | April 28, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a970a95488190ac723daa646820d0 |
completed | May 18, 2026, 4:35 a.m. |
| NEDg | Description generation | batch_6a0a98bae8bc8190bd6a87983a1a6732 |
completed | May 18, 2026, 4:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a99485cf881908764d64050667ea1 |
completed | May 18, 2026, 4:44 a.m. |
Created at: April 16, 2026, 8:33 p.m.