Triple
T10842761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TX-07 |
E255929
|
entity |
| Predicate | recentPartyLeaning |
P15842
|
FINISHED |
| Object | Democratic-leaning |
—
|
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: Democratic-leaning | Statement: [TX-07, recentPartyLeaning, Democratic-leaning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recentPartyLeaning Context triple: [TX-07, recentPartyLeaning, Democratic-leaning]
-
A.
politicalTendency
chosen
Indicates the general political orientation, leaning, or ideological stance associated with an entity in relation to the political spectrum.
-
B.
previousPartyAffiliation
Indicates the political party or organization with which an entity was affiliated before its current or later affiliation.
-
C.
politicalSide
Indicates the political alignment or ideological position that one entity holds in relation to political spectra or groupings.
-
D.
partyAlignment
Indicates the political party or faction with which an entity is formally or informally affiliated or aligned.
-
E.
hasStrongPartyLean
Indicates that an entity consistently favors or aligns strongly with a particular political party.
- 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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d750ce40108190895c477553195fe4 |
completed | April 9, 2026, 7:10 a.m. |
| PD | Predicate disambiguation | batch_69d70d25280c8190b648d7d1958b413a |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:19 p.m.