Triple
T9709050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spangled Orpington |
E234973
|
entity |
| Predicate | hasEggProductionPerYear |
P32342
|
FINISHED |
| Object | approximately 150–200 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: approximately 150–200 eggs | Statement: [Spangled Orpington, hasEggProductionPerYear, approximately 150–200 eggs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEggProductionPerYear Context triple: [Spangled Orpington, hasEggProductionPerYear, approximately 150–200 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.
hasHatch
Indicates that one entity possesses or is equipped with a hatch, such as an opening or access panel.
-
D.
hasEggSize
Indicates that an entity possesses eggs characterized by a particular size or size category.
-
E.
containsEggs
Indicates that something includes eggs as one of its components or ingredients.
- 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_69ca84cd8fa0819090a5e243ceb37003 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9da7c6188190b086f7e411378268 |
completed | April 1, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69cd03bfeca08190924fca43aaa9c10f |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:19 p.m.