Triple
T3060774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camargue horse |
E61990
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object |
gardians
Gardians are traditional mounted herdsmen of the Camargue region in southern France, known for managing semi-wild bulls and horses on the wetlands.
|
E322627
|
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: gardians | Statement: [Camargue horse, usedBy, gardians]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: gardians Context triple: [Camargue horse, usedBy, gardians]
-
A.
Guardians
Guardians are the uniformed service members of the United States Space Force, responsible for conducting and supporting military operations in space.
-
B.
The Guardians
The Guardians is a legal thriller novel by John Grisham that follows a small nonprofit law firm’s efforts to exonerate a wrongfully convicted man on death row.
-
C.
Caretakers
Caretakers is a horror novel by American author Tabitha King that explores dark family secrets and psychological tension in a small-town setting.
-
D.
Garding
Garding is a small town in the Nordfriesland district of Schleswig-Holstein in northern Germany.
-
E.
Griffins
Griffins is the commonly used short name for the Grand Rapids Griffins, a professional ice hockey team in the American Hockey League.
- 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: gardians Triple: [Camargue horse, usedBy, gardians]
Generated description
Gardians are traditional mounted herdsmen of the Camargue region in southern France, known for managing semi-wild bulls and horses on the wetlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: gardians Target entity description: Gardians are traditional mounted herdsmen of the Camargue region in southern France, known for managing semi-wild bulls and horses on the wetlands.
-
A.
Guardians
Guardians are the uniformed service members of the United States Space Force, responsible for conducting and supporting military operations in space.
-
B.
The Guardians
The Guardians is a legal thriller novel by John Grisham that follows a small nonprofit law firm’s efforts to exonerate a wrongfully convicted man on death row.
-
C.
Caretakers
Caretakers is a horror novel by American author Tabitha King that explores dark family secrets and psychological tension in a small-town setting.
-
D.
Garding
Garding is a small town in the Nordfriesland district of Schleswig-Holstein in northern Germany.
-
E.
Griffins
Griffins is the commonly used short name for the Grand Rapids Griffins, a professional ice hockey team in the American Hockey League.
- 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_69ad85793e5c8190a358049bc4a98d8c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ad9e9e1e248190b5ed5ebcdad1321e |
completed | March 8, 2026, 4:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1ef0e757481908eb1d9693474c49d |
completed | March 11, 2026, 10:39 p.m. |
| NEDg | Description generation | batch_69b1efedc68481908c2fece012621f1f |
completed | March 11, 2026, 10:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1f07505c881909841f184af3e4319 |
completed | March 11, 2026, 10:45 p.m. |
Created at: March 8, 2026, 3:02 p.m.