Triple
T34626481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Owakudani |
E889150
|
entity |
| Predicate | eggColorCause |
P179714
|
FINISHED |
| Object | sulfur and iron reaction on shell |
—
|
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: sulfur and iron reaction on shell | Statement: [Owakudani, eggColorCause, sulfur and iron reaction on shell]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eggColorCause Context triple: [Owakudani, eggColorCause, sulfur and iron reaction on shell]
-
A.
eggColorTrait
Indicates a relationship where an entity has a specific characteristic or trait describing the color of its eggs.
-
B.
eggShellColor
Indicates the color of an entity’s eggshell.
-
C.
eggType
Indicates the specific category or kind of egg associated with an entity (e.g., its classification or type).
-
D.
averageEggColor
Indicates that there is a characteristic or typical egg color associated with an entity, representing the average hue of its eggs.
-
E.
eggNumber
Indicates the specific count or identifier assigned to an individual egg within a set or sequence.
- F. None of above. chosen
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_69f349d64a388190a013cfa9bd33fad7 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7238172748190b8cd340ad1f4ba80 |
completed | May 3, 2026, 10:29 a.m. |
| PD | Predicate disambiguation | batch_69f72155c48881909bd40b9aa3febd5a |
completed | May 3, 2026, 10:20 a.m. |
| PDg | Predicate description generation | batch_69f72349f1108190b6a06758ab2f40bb |
completed | May 3, 2026, 10:28 a.m. |
Created at: May 1, 2026, 2:04 a.m.