Triple
T13349957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1967 Shag Harbour incident |
E318043
|
entity |
| Predicate | officialExplanation |
P105569
|
FINISHED |
| Object | no conventional explanation found |
—
|
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: no conventional explanation found | Statement: [1967 Shag Harbour incident, officialExplanation, no conventional explanation found]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officialExplanation Context triple: [1967 Shag Harbour incident, officialExplanation, no conventional explanation found]
-
A.
hasOfficialExplanation
chosen
Indicates that an entity is accompanied by an authoritative or formally recognized explanation clarifying its reason, cause, or details.
-
B.
officialJustification
Indicates the formally stated reason or rationale that an authority or institution gives to legitimize an action, decision, or policy.
-
C.
usedToExplain
Indicates that one entity serves as an explanation or clarification for another entity.
-
D.
explainsPolicy
Indicates that one entity provides a clarification or detailed description of a policy to another entity.
-
E.
aimsToExplain
Indicates that one entity intends to clarify, make understandable, or provide an explanation about another entity, concept, or situation.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99e8c2f1c819094f0970f35f18afa |
completed | April 11, 2026, 1:06 a.m. |
| PD | Predicate disambiguation | batch_69d98f6e53d88190bd6aa42f69b10ffb |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:31 p.m.