Triple
T28029004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eurasian blackbird |
E708208
|
entity |
| Predicate | femaleUnderparts |
P164384
|
FINISHED |
| Object | streaked or mottled |
—
|
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: streaked or mottled | Statement: [Eurasian blackbird, femaleUnderparts, streaked or mottled]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: femaleUnderparts Context triple: [Eurasian blackbird, femaleUnderparts, streaked or mottled]
-
A.
womenSection
Indicates that something is designated as belonging to, located in, or associated with the women's section or area.
-
B.
fantasyBraValue
Indicates a relationship where a specific bra size or measurement is assigned to or associated with an entity in a fantasy or non-realistic context.
-
C.
forbidsHoldsBelowWaist
Indicates that one party prohibits another from holding or touching someone below the waist.
-
D.
femaleHas
Indicates that a specified entity is female or possesses a female gender attribute in relation to another entity or context.
-
E.
isGenderSpecificCategory
Indicates that the category applies specifically to one gender rather than being gender-neutral.
- 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_69ef9b6bdd9c8190bb3a574a03774ad1 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f644de4a84819087ddb84757fc4585 |
completed | May 2, 2026, 6:39 p.m. |
| PD | Predicate disambiguation | batch_69f641def1e88190a05bf865ced78b23 |
completed | May 2, 2026, 6:26 p.m. |
| PDg | Predicate description generation | batch_69f643e818d481908fc66bc91bd25d77 |
completed | May 2, 2026, 6:35 p.m. |
Created at: April 27, 2026, 8:14 p.m.