Triple
T7523318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maung Zarni |
E177828
|
entity |
| Predicate | stanceOnRohingya |
P22934
|
FINISHED |
| Object | recognizes persecution of Rohingya as severe human rights abuse |
—
|
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: recognizes persecution of Rohingya as severe human rights abuse | Statement: [Maung Zarni, stanceOnRohingya, recognizes persecution of Rohingya as severe human rights abuse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stanceOnRohingya Context triple: [Maung Zarni, stanceOnRohingya, recognizes persecution of Rohingya as severe human rights abuse]
-
A.
stanceOnAuthority
Indicates an entity’s attitude, position, or level of support or opposition toward authority or authoritative control.
-
B.
stanceOnImmigration
Indicates a subject’s position, attitude, or policy preference regarding immigration.
-
C.
conflictStance
chosen
Indicates a party’s position, attitude, or alignment regarding a particular conflict or dispute.
-
D.
stanceTowardGovernment
Indicates the attitude, position, or level of support or opposition that an entity holds toward a government.
-
E.
stanceOnProofs
Indicates the position or attitude an entity holds regarding the use, value, or nature of proofs.
- 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_69c69f29bf3081909a146aec7755f185 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f7c4f32081908b5162f4551adb6d |
completed | March 27, 2026, 9:33 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d6bb808190bdd04499fd3bceb6 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:46 p.m.