Triple
T8859782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buff Wyandotte |
E210856
|
entity |
| Predicate | annualEggProductionRange |
P32342
|
FINISHED |
| Object | 180–240 eggs |
—
|
LITERAL FINISHED |
How this triple was built (2 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: 180–240 eggs | Statement: [Buff Wyandotte, annualEggProductionRange, 180–240 eggs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: annualEggProductionRange Context triple: [Buff Wyandotte, annualEggProductionRange, 180–240 eggs]
-
A.
eggProductionLevel
chosen
Indicates the quantity or rate at which eggs are produced by an entity over a given period.
-
B.
eggLaying
Indicates that one entity performs or is characterized by the action of laying eggs.
-
C.
averageEggColor
Indicates that there is a characteristic or typical egg color associated with an entity, representing the average hue of its eggs.
-
D.
eggNumber
Indicates the specific count or identifier assigned to an individual egg within a set or sequence.
-
E.
eggIncubation
Indicates that one entity is keeping another (typically an egg) under suitable conditions for development until it hatches.
- F. None of above.
Provenance (3 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_69ca838bbddc8190ab546d737e5d350f |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60e712d08190bfb1c4ba3acaea90 |
completed | April 1, 2026, 12:03 a.m. |
| PD | Predicate disambiguation | batch_69cc5c279ea481908c71756f694b66bf |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:50 p.m.