Triple
T15261439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twyford Down |
E364783
|
entity |
| Predicate | protestsOccurredIn |
P3165
|
FINISHED |
| Object | early 1990s |
—
|
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: early 1990s | Statement: [Twyford Down, protestsOccurredIn, early 1990s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: protestsOccurredIn Context triple: [Twyford Down, protestsOccurredIn, early 1990s]
-
A.
locationOfNotableProtest
chosen
Indicates the place where a significant or notable protest event occurred.
-
B.
protests
Indicates that an entity publicly expresses opposition or disapproval toward another entity, action, or situation.
-
C.
notableProtest
Indicates that an entity is recognized for having led, organized, or been centrally involved in a significant protest or demonstration.
-
D.
hasProtestMovement
Indicates that an entity is associated with, or gives rise to, an organized protest movement opposing or advocating change related to it.
-
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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0084e85a08190b8e63598b9f6a535 |
completed | April 15, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69deca8d1bd48190a4b94f29b425e335 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:14 a.m.