Triple
T1258447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taurus |
E12444
|
entity |
| Predicate | polarity |
P26308
|
FINISHED |
| Object | Feminine |
—
|
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: Feminine | Statement: [Taurus, polarity, Feminine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: polarity Context triple: [Taurus, polarity, Feminine]
-
A.
logicalPolarity
Indicates that the truth value of a statement is affirmed (positive) or denied (negative) relative to some logical context.
-
B.
politicalTendency
Indicates the general political orientation, leaning, or ideological stance associated with an entity in relation to the political spectrum.
-
C.
politicalSide
Indicates the political alignment or ideological position that one entity holds in relation to political spectra or groupings.
-
D.
parity
Indicates that two quantities share the same evenness or oddness, or more generally that they have equivalent status or value in a given context.
-
E.
nonPartisan
Indicates that an entity is not affiliated with, influenced by, or acting on behalf of any political party or partisan interest.
- 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_69a4933352e08190ac617291985e76c0 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bfaa2b508190a3f61c67b3fa3ad4 |
completed | March 1, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69a4bb6eefbc81908dddd7d2ef368186 |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bd98b62c8190a5f6710345c0537d |
completed | March 1, 2026, 10:28 p.m. |
Created at: March 1, 2026, 7:50 p.m.