Triple
T639364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | poll tax (Community Charge) |
E16697
|
entity |
| Predicate | criticizedAs |
P805
|
FINISHED |
| Object | unfair compared to property-based taxes |
—
|
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: unfair compared to property-based taxes | Statement: [poll tax (Community Charge), criticizedAs, unfair compared to property-based taxes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: criticizedAs Context triple: [poll tax (Community Charge), criticizedAs, unfair compared to property-based taxes]
-
A.
criticizedFor
chosen
Indicates that one entity expresses disapproval or negative judgment of another entity specifically because of a particular action, quality, or outcome.
-
B.
hasCriticism
Indicates that one entity expresses disapproval, objection, or negative evaluation directed toward another entity.
-
C.
criticizesSource
Indicates that one entity expresses disapproval of, or negative judgment about, the content, behavior, or credibility of another entity that is treated as a source.
-
D.
alsoCalledByCritics
Indicates that critics refer to the same entity by an alternative name or label.
-
E.
criticalReception
Indicates how a work, performance, or product is evaluated and responded to by critics or professional reviewers.
- 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_69a4936be1c88190af56540324b57da7 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a17b125481909a6ab53424954792 |
completed | March 1, 2026, 8:28 p.m. |
| PD | Predicate disambiguation | batch_69a49d0629308190bcc137639567f7c2 |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:35 p.m.