Triple
T3581234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alpha Ridge |
E75802
|
entity |
| Predicate | partOfDebate |
P49860
|
FINISHED |
| Object | Arctic continental shelf delimitation |
—
|
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: Arctic continental shelf delimitation | Statement: [Alpha Ridge, partOfDebate, Arctic continental shelf delimitation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfDebate Context triple: [Alpha Ridge, partOfDebate, Arctic continental shelf delimitation]
-
A.
enteredPoliticalDebateIn
Indicates that an entity took part in a political debate that occurred in a specified place or context.
-
B.
inAcademicDebate
Indicates that one entity is engaged in a formal, scholarly argument or discussion with another entity, typically following academic norms and methods of reasoning.
-
C.
hasLongTermDebateOn
Indicates that there is an ongoing, extended period of discussion, disagreement, or argument concerning a particular topic or issue.
-
D.
languageOfDebate
Indicates that a specified language is the one used for conducting a particular debate.
-
E.
hasDebate
Indicates that there is a formal discussion or argument between entities, typically presenting opposing viewpoints on a topic.
- 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_69ad85d6dc3c8190b491b79b83e25461 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc101738c81908d38987f8fa291ef |
completed | March 8, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69adb83810c481909c645c08b978edc1 |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adb8e4ba948190a9b777cf7f788b96 |
completed | March 8, 2026, 5:59 p.m. |
Created at: March 8, 2026, 3:21 p.m.