Triple
T29723341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokyo Shatterdome |
E752115
|
entity |
| Predicate | defenseTheater |
P176744
|
FINISHED |
| Object | Pacific Ocean |
—
|
NE NERFINISHED |
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: Pacific Ocean | Statement: [Tokyo Shatterdome, defenseTheater, Pacific Ocean]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: defenseTheater Context triple: [Tokyo Shatterdome, defenseTheater, Pacific Ocean]
-
A.
armedAgainst
Indicates that one entity is equipped with weapons or defensive capabilities specifically in preparation for potential conflict with another entity.
-
B.
usedTerrorism
Indicates that an entity employed or supported acts of terrorism as a means to achieve its objectives.
-
C.
defends
Indicates that one entity protects or supports another entity against attack, criticism, or harm.
-
D.
terroristOrganization
Indicates that an entity is recognized as a group that plans, supports, or carries out acts of terrorism.
-
E.
positionOnTerrorism
Indicates a stance or viewpoint that an entity holds regarding terrorism, such as its causes, legitimacy, or appropriate responses.
- 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_69f0d628c00c8190ab5ee7e423d7ec3c |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f6e6029a10819098ff21f58079e70e |
completed | May 3, 2026, 6:06 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d5e8188190b1e1c2e5d1b77031 |
completed | May 3, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69f6e60109648190947a64ca4ce81a3a |
completed | May 3, 2026, 6:06 a.m. |
Created at: April 28, 2026, 7:37 p.m.