Triple
T4662954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Progressive Unionist Party |
E102576
|
entity |
| Predicate | hasStanceOn |
P31611
|
FINISHED |
| Object | victims and survivors of the Troubles |
—
|
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: victims and survivors of the Troubles | Statement: [Progressive Unionist Party, hasStanceOn, victims and survivors of the Troubles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStanceOn Context triple: [Progressive Unionist Party, hasStanceOn, victims and survivors of the Troubles]
-
A.
policyStance
Indicates the position or viewpoint an entity holds regarding a specific policy or set of policies.
-
B.
editorialStance
Indicates the position, viewpoint, or bias an editor or publication adopts toward a subject, issue, or entity.
-
C.
hasDifferentOpinionsOn
Indicates that two or more entities hold differing views or judgments regarding a particular topic, issue, or subject.
-
D.
hasIdeologicalPosition
chosen
Indicates that an entity holds, endorses, or is associated with a particular ideological stance or viewpoint.
-
E.
hasAuthorialStance
Indicates that an entity expresses, embodies, or is associated with a particular author’s viewpoint, attitude, or perspective toward its subject matter.
- 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_69bd43d823288190952279faa0d1d066 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd632d6150819085bab97021c0235a |
completed | March 20, 2026, 3:09 p.m. |
| PD | Predicate disambiguation | batch_69bd62126b0c81909ba3f21b21e30d54 |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:15 p.m.