Triple
T20270595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belgian Shepherd Dog |
E499081
|
entity |
| Predicate | hasVariety |
P455
|
FINISHED |
| Object |
Groenendael
Groenendael is the long-haired, solid-black variety of the Belgian Shepherd known for its elegance, intelligence, and strong working ability.
|
E1419983
|
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: Groenendael | Statement: [Belgian Shepherd Dog, hasVariety, Groenendael]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Groenendael Context triple: [Belgian Shepherd Dog, hasVariety, Groenendael]
-
A.
Veluws
Veluws is a Dutch Low Saxon dialect spoken in the Veluwe region of the Netherlands, closely related to other eastern Dutch dialects such as Achterhooks.
-
B.
Hoornaar
Hoornaar is a village in the Dutch province of South Holland, known for its rural character and traditional polder landscape.
-
C.
Scherpenzeel
Scherpenzeel is a small Dutch municipality in the province of Gelderland, known for its rural character and historic village center.
-
D.
Gelderlander
Gelderlander is a regional Dutch newspaper based in the province of Gelderland.
-
E.
Dutch Velders
Dutch Velders is a skilled hacker and key member of the human resistance against vampires in the horror drama series "The Strain."
- 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: Groenendael Triple: [Belgian Shepherd Dog, hasVariety, Groenendael]
Generated description
Groenendael is the long-haired, solid-black variety of the Belgian Shepherd known for its elegance, intelligence, and strong working ability.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Groenendael Target entity description: Groenendael is the long-haired, solid-black variety of the Belgian Shepherd known for its elegance, intelligence, and strong working ability.
-
A.
Veluws
Veluws is a Dutch Low Saxon dialect spoken in the Veluwe region of the Netherlands, closely related to other eastern Dutch dialects such as Achterhooks.
-
B.
Hoornaar
Hoornaar is a village in the Dutch province of South Holland, known for its rural character and traditional polder landscape.
-
C.
Scherpenzeel
Scherpenzeel is a small Dutch municipality in the province of Gelderland, known for its rural character and historic village center.
-
D.
Gelderlander
Gelderlander is a regional Dutch newspaper based in the province of Gelderland.
-
E.
Dutch Velders
Dutch Velders is a skilled hacker and key member of the human resistance against vampires in the horror drama series "The Strain."
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e675dd7c58819095bbf4baeda04d6a |
completed | April 20, 2026, 6:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08553934dc8190bbfc93d01dbff4a4 |
completed | May 16, 2026, 11:30 a.m. |
| NEDg | Description generation | batch_6a0855b26f0081909c2b74b888e0cd25 |
completed | May 16, 2026, 11:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08567e39548190bd201d744e5fa7e9 |
completed | May 16, 2026, 11:35 a.m. |
Created at: April 11, 2026, 11:42 p.m.