Triple
T19421236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franekeradeel |
E485857
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Herbaijum
Herbaijum is a small village in the province of Friesland in the Netherlands.
|
E1375849
|
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: Herbaijum | Statement: [Franekeradeel, contains, Herbaijum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Herbaijum Context triple: [Franekeradeel, contains, Herbaijum]
-
A.
Hertevin
Hertevin is a modern Eastern Aramaic dialect traditionally spoken by a small Christian community from the village of Hertevin in southeastern Turkey.
-
B.
Hartia
Hartia is a small genus of flowering plants in the tea family Theaceae, comprising evergreen trees or shrubs native to East Asia.
-
C.
Hamul
Hamul is a minor biblical figure listed in the Book of Genesis as one of the descendants of Judah and a member of the early Israelite family lineage.
-
D.
Enbihaar
Enbihaar is a high-class British-trained Thoroughbred racehorse best known as a top staying mare who excelled in long-distance Group races.
-
E.
Heritiera
Heritiera is a genus of tropical trees, many of which are large coastal or mangrove species valued for their timber and ecological importance.
- 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: Herbaijum Triple: [Franekeradeel, contains, Herbaijum]
Generated description
Herbaijum is a small village in the province of Friesland in the Netherlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Herbaijum Target entity description: Herbaijum is a small village in the province of Friesland in the Netherlands.
-
A.
Hertevin
Hertevin is a modern Eastern Aramaic dialect traditionally spoken by a small Christian community from the village of Hertevin in southeastern Turkey.
-
B.
Hartia
Hartia is a small genus of flowering plants in the tea family Theaceae, comprising evergreen trees or shrubs native to East Asia.
-
C.
Hamul
Hamul is a minor biblical figure listed in the Book of Genesis as one of the descendants of Judah and a member of the early Israelite family lineage.
-
D.
Enbihaar
Enbihaar is a high-class British-trained Thoroughbred racehorse best known as a top staying mare who excelled in long-distance Group races.
-
E.
Heritiera
Heritiera is a genus of tropical trees, many of which are large coastal or mangrove species valued for their timber and ecological importance.
- 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_69d8e8d688f881909c85104a62e09d8a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63214d768819082129100d7116521 |
completed | April 20, 2026, 2:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0733d1d4148190b7dae069a76e7041 |
completed | May 15, 2026, 2:55 p.m. |
| NEDg | Description generation | batch_6a0735ce9a348190af1d3f58f1bb26cd |
completed | May 15, 2026, 3:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0736c250708190a6f9ac2364038432 |
completed | May 15, 2026, 3:07 p.m. |
Created at: April 10, 2026, 1:37 p.m.