Triple
T498159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camargue |
E10340
|
entity |
| Predicate | hasAnimal |
P13551
|
FINISHED |
| Object |
Camargue horse
The Camargue horse is an ancient, small, and hardy gray horse breed native to the marshes of southern France, renowned for its sure-footedness and use in traditional cattle herding.
|
E61990
|
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: Camargue horse | Statement: [Camargue, hasAnimal, Camargue horse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Camargue horse Context triple: [Camargue, hasAnimal, Camargue horse]
-
A.
Mouton
Mouton is an academic publishing house known for its influential works in linguistics and related fields.
-
B.
Carabao
Carabao is a Thai energy drink brand known internationally for its high-profile sports sponsorships, including naming rights to England’s EFL Cup.
-
C.
Camel
Camel is a long-established American cigarette brand known for its distinctive camel logo and association with R.J. Reynolds Tobacco Company.
-
D.
Marans
Marans is a French chicken breed renowned for its dark chocolate-brown eggs and dual-purpose use for both meat and egg production.
-
E.
Celle
Celle is a historic town in northern Germany renowned for its well-preserved half-timbered old town and ducal palace.
- 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: Camargue horse Triple: [Camargue, hasAnimal, Camargue horse]
Generated description
The Camargue horse is an ancient, small, and hardy gray horse breed native to the marshes of southern France, renowned for its sure-footedness and use in traditional cattle herding.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Camargue horse Target entity description: The Camargue horse is an ancient, small, and hardy gray horse breed native to the marshes of southern France, renowned for its sure-footedness and use in traditional cattle herding.
-
A.
Mouton
Mouton is an academic publishing house known for its influential works in linguistics and related fields.
-
B.
Carabao
Carabao is a Thai energy drink brand known internationally for its high-profile sports sponsorships, including naming rights to England’s EFL Cup.
-
C.
Camel
Camel is a long-established American cigarette brand known for its distinctive camel logo and association with R.J. Reynolds Tobacco Company.
-
D.
Marans
Marans is a French chicken breed renowned for its dark chocolate-brown eggs and dual-purpose use for both meat and egg production.
-
E.
Celle
Celle is a historic town in northern Germany renowned for its well-preserved half-timbered old town and ducal palace.
- 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_69a2e847df8481909239ec08ccf1e376 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1183e988190bce70932a9678134 |
completed | Feb. 28, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a481efc3a881909575c5981e13a16b |
completed | March 1, 2026, 6:14 p.m. |
| NEDg | Description generation | batch_69a48352d91481909fb2119752595927 |
completed | March 1, 2026, 6:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a483bb51c48190a0c2d9a3198e0ae2 |
completed | March 1, 2026, 6:21 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.