Triple
T30753070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orpington chicken |
E783006
|
entity |
| Predicate | firstColorVarietyDeveloped |
P78754
|
FINISHED |
| Object | Black Orpington |
E223844
|
NE 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: Black Orpington | Statement: [Orpington chicken, firstColorVarietyDeveloped, Black Orpington]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstColorVarietyDeveloped Context triple: [Orpington chicken, firstColorVarietyDeveloped, Black Orpington]
-
A.
firstDeveloped
chosen
Indicates that one entity was the earliest to create, originate, or bring another entity into existence.
-
B.
firstColorEditionYear
Indicates the year in which an entity was first released, produced, or presented in a color edition.
-
C.
laterColorVariant
Indicates that one entity is a color variant that appeared or was introduced after the other entity in time.
-
D.
firstHorseColor
Indicates the color attribute associated with the first horse in a given context or sequence.
-
E.
primaryColorProduction
Indicates that an entity is responsible for producing or generating a primary color (such as red, blue, or yellow) in some context.
- F. None of above.
Provenance (4 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_69f224af8d8481908bea03890c5618be |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a032b2285ac81908826f311a222c749 |
completed | May 12, 2026, 1:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a29388c96a08190ac3967a53c2a294c |
completed | June 10, 2026, 10:12 a.m. |
| PD | Predicate disambiguation | batch_6a032929b8b88190bf7d14d789b38aeb |
completed | May 12, 2026, 1:20 p.m. |
Created at: April 29, 2026, 8:39 p.m.