Triple
T14690114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Stallion |
E345013
|
entity |
| Predicate | languageName |
P13426
|
FINISHED |
| Object |
Vezhof
Vezhof is a constructed language associated with the Great Stallion setting, likely designed to reflect the culture and themes of that fictional world.
|
E1114262
|
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: Vezhof | Statement: [Great Stallion, languageName, Vezhof]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vezhof Context triple: [Great Stallion, languageName, Vezhof]
-
A.
Vollenhoven
Vollenhoven is a Dutch surname most notably associated with philosopher D. H. Th. Vollenhoven, a key figure in Reformational philosophy.
-
B.
Woudenberg
Woudenberg is a small Dutch municipality and town located in the central Netherlands.
-
C.
Reeshof
Reeshof is a large residential district in the western part of Tilburg in the Netherlands, known for its modern housing developments and green spaces.
-
D.
Veenendaal
Veenendaal is a Dutch town and municipality in the central Netherlands, known for its location between Utrecht and the Veluwe and its mix of residential, commercial, and light industrial areas.
-
E.
Valkenburg
Valkenburg is a village in the Dutch province of South Holland, known for its historic charm and proximity to the North Sea coast.
- 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: Vezhof Triple: [Great Stallion, languageName, Vezhof]
Generated description
Vezhof is a constructed language associated with the Great Stallion setting, likely designed to reflect the culture and themes of that fictional world.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vezhof Target entity description: Vezhof is a constructed language associated with the Great Stallion setting, likely designed to reflect the culture and themes of that fictional world.
-
A.
Vollenhoven
Vollenhoven is a Dutch surname most notably associated with philosopher D. H. Th. Vollenhoven, a key figure in Reformational philosophy.
-
B.
Woudenberg
Woudenberg is a small Dutch municipality and town located in the central Netherlands.
-
C.
Reeshof
Reeshof is a large residential district in the western part of Tilburg in the Netherlands, known for its modern housing developments and green spaces.
-
D.
Veenendaal
Veenendaal is a Dutch town and municipality in the central Netherlands, known for its location between Utrecht and the Veluwe and its mix of residential, commercial, and light industrial areas.
-
E.
Valkenburg
Valkenburg is a village in the Dutch province of South Holland, known for its historic charm and proximity to the North Sea coast.
- 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb5844de481908a796eaa474bfde9 |
completed | April 14, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde189771c81909289b8b044e32547 |
completed | May 8, 2026, 1:13 p.m. |
| NEDg | Description generation | batch_69fde5fd6854819083957f2c653eb8b6 |
completed | May 8, 2026, 1:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fde6ffc27881909427d24560011cdf |
completed | May 8, 2026, 1:37 p.m. |
Created at: April 10, 2026, 1:28 a.m.