Triple
T38437793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gorleben |
E903996
|
entity |
| Predicate | hasProtestCamp |
P204655
|
FINISHED |
| Object | long-term anti-nuclear protest camps |
—
|
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: long-term anti-nuclear protest camps | Statement: [Gorleben, hasProtestCamp, long-term anti-nuclear protest camps]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProtestCamp Context triple: [Gorleben, hasProtestCamp, long-term anti-nuclear protest camps]
-
A.
hasProtestMovement
Indicates that an entity is associated with, or gives rise to, an organized protest movement opposing or advocating change related to it.
-
B.
hasLanguageOfProtest
Indicates that an entity expresses or embodies a language, style, or discourse of protest in relation to another entity or context.
-
C.
protestLedBy
Indicates that a protest is directed or organized under the leadership or guidance of a particular person or group.
-
D.
numberOfProtesters
Indicates the total count of individuals participating as protesters in a given event or context.
-
E.
hasPopularMovement
Indicates that an entity is associated with or gives rise to a widely supported social, political, or cultural movement.
- F. None of above. chosen
Provenance (4 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_69f76e6a2024819081aa04f4932f89d2 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037cae084081909004d77514c5f286 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a1e32108190897356d6a7fed879 |
completed | May 12, 2026, 7:06 p.m. |
| PDg | Predicate description generation | batch_6a037c84ecbc81908232e5215355f43b |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:31 p.m.