Triple
T29531176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plymouth Rock chicken |
E749205
|
entity |
| Predicate | recognizedVarietyCount |
P49018
|
FINISHED |
| Object | several color varieties |
—
|
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: several color varieties | Statement: [Plymouth Rock chicken, recognizedVarietyCount, several color varieties]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recognizedVarietyCount Context triple: [Plymouth Rock chicken, recognizedVarietyCount, several color varieties]
-
A.
hasApproximateNumberOfVarieties
chosen
Indicates that an entity is associated with an estimated or non-exact count of different varieties or types.
-
B.
numberOfPrimaryVarieties
Indicates the count of distinct primary varieties associated with a given entity.
-
C.
colorVarietyCount
Indicates the number of distinct colors associated with or present in a given entity or set of entities.
-
D.
hasVarietyOf
Indicates that an entity possesses or offers multiple different types, forms, or versions of something.
-
E.
variantCount
Indicates the number of distinct variants associated with a given entity or item.
- 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_69f0bd46d99c81908ba9d01cc1dbef7d |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f7465687bc8190a9da44d62b634ed7 |
completed | May 3, 2026, 12:57 p.m. |
| PD | Predicate disambiguation | batch_69f743f4ceb08190a21fe7f4a99b166b |
completed | May 3, 2026, 12:47 p.m. |
Created at: April 28, 2026, 4:53 p.m.