Triple
T28833436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beita |
E728112
|
entity |
| Predicate | hasFormOfResistance |
P66969
|
FINISHED |
| Object | popular protests |
—
|
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: popular protests | Statement: [Beita, hasFormOfResistance, popular protests]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFormOfResistance Context triple: [Beita, hasFormOfResistance, popular protests]
-
A.
resistedIn
Indicates that an entity actively opposed, withstood, or fought against something within a specific context, event, or location.
-
B.
methodOfResistance
chosen
Indicates a way or technique by which resistance is carried out or expressed.
-
C.
resistedUntil
Indicates that an entity continued to oppose or withstand another entity or force up to a specific point in time or event.
-
D.
isResistant
Indicates that an entity can withstand, oppose, or is not significantly affected by a specified force, influence, or agent.
-
E.
typeOfResistance
Indicates the kind or category of resistance that characterizes how an entity opposes, impedes, or withstands another entity or influence.
- 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_69f0319dc6088190bbfaa206d40ed74a |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f791cc969c8190bf187d6031a030d5 |
completed | May 3, 2026, 6:19 p.m. |
| PD | Predicate disambiguation | batch_69f791033d288190b118029fe412b9c9 |
completed | May 3, 2026, 6:16 p.m. |
Created at: April 28, 2026, 6:38 a.m.