Triple
T299271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | chicken |
E6161
|
entity |
| Predicate | hasCommonBreed |
P7254
|
FINISHED |
| Object |
Marans
Marans is a French chicken breed renowned for its dark chocolate-brown eggs and dual-purpose use for both meat and egg production.
|
E39458
|
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: Marans | Statement: [chicken, hasCommonBreed, Marans]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marans Context triple: [chicken, hasCommonBreed, Marans]
-
A.
Mouton
Mouton is an academic publishing house known for its influential works in linguistics and related fields.
-
B.
Gallic rooster
The Gallic rooster is a traditional emblem of France, symbolizing the nation’s pride, vigilance, and cultural identity.
-
C.
Silkie
Silkie is a distinctive chicken breed known for its fluffy, silk-like plumage, black skin, and gentle temperament, often kept as an ornamental or pet bird.
-
D.
Rednitz
The Rednitz is a river in Bavaria, Germany, that flows through cities such as Fürth and joins with the Pegnitz to form the Regnitz.
-
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: Marans Triple: [chicken, hasCommonBreed, Marans]
Generated description
Marans is a French chicken breed renowned for its dark chocolate-brown eggs and dual-purpose use for both meat and egg production.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marans Target entity description: Marans is a French chicken breed renowned for its dark chocolate-brown eggs and dual-purpose use for both meat and egg production.
-
A.
Mouton
Mouton is an academic publishing house known for its influential works in linguistics and related fields.
-
B.
Gallic rooster
The Gallic rooster is a traditional emblem of France, symbolizing the nation’s pride, vigilance, and cultural identity.
-
C.
Silkie
Silkie is a distinctive chicken breed known for its fluffy, silk-like plumage, black skin, and gentle temperament, often kept as an ornamental or pet bird.
-
D.
Rednitz
The Rednitz is a river in Bavaria, Germany, that flows through cities such as Fürth and joins with the Pegnitz to form the Regnitz.
-
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_69a2e79114b081909490b3bf5a5dbb51 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ee002dd0819080f0841eb9107ee3 |
completed | Feb. 28, 2026, 1:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3b47185f48190813159f932c0af9a |
completed | March 1, 2026, 3:37 a.m. |
| NEDg | Description generation | batch_69a3b4da227c8190bb172bb78484ce46 |
completed | March 1, 2026, 3:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3b52e995c819084fe2b4983f6cfcc |
completed | March 1, 2026, 3:40 a.m. |
Created at: Feb. 28, 2026, 1:06 p.m.