Triple
T3523656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M3 cutting at Twyford Down |
E74485
|
entity |
| Predicate | protestMovement |
P20165
|
FINISHED |
| Object | roads protest movement in the United Kingdom |
—
|
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: roads protest movement in the United Kingdom | Statement: [M3 cutting at Twyford Down, protestMovement, roads protest movement in the United Kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: protestMovement Context triple: [M3 cutting at Twyford Down, protestMovement, roads protest movement in the United Kingdom]
-
A.
protests
Indicates that an entity publicly expresses opposition or disapproval toward another entity, action, or situation.
-
B.
notableProtest
Indicates that an entity is recognized for having led, organized, or been centrally involved in a significant protest or demonstration.
-
C.
protestForm
Indicates the specific method or mode by which a protest or demonstration is carried out.
-
D.
broaderMovement
chosen
Indicates that one movement is a more general, encompassing movement within which another, more specific movement is situated.
-
E.
teamDuringProtest
Indicates that two or more entities are part of the same team or organized group specifically in the context of a protest event.
- 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_69ad85d0c5488190a3d8e02ebd01a1aa |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc4f16b8819094ad2755670ddc7b |
completed | March 8, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69adae121a048190b03825a001d21f49 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:19 p.m.