Triple
T37269738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dunan |
E924479
|
entity |
| Predicate | underwaterFeatureNearby |
P117087
|
FINISHED |
| Object | Yonaguni underwater monument |
—
|
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: Yonaguni underwater monument | Statement: [Dunan, underwaterFeatureNearby, Yonaguni underwater monument]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: underwaterFeatureNearby Context triple: [Dunan, underwaterFeatureNearby, Yonaguni underwater monument]
-
A.
hasNearbyMarineFeature
chosen
Indicates that one entity is located close to a marine geographic feature associated with the other entity.
-
B.
nearReef
Indicates that one entity is located close to or in the vicinity of a reef.
-
C.
notableNearbyFeatureBeforeSubmergence
Indicates that a location had a particular notable nearby feature prior to being submerged or flooded.
-
D.
hasDiveCenterNearby
Indicates that there is at least one dive center located in close proximity to the referenced entity.
-
E.
hasNearbyWater
Indicates that one entity is located close to a body of water associated with or relevant to another entity.
- 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_69f76eacdd8c819094080d3991e6d37c |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fda94697c4819081291967202248be |
completed | May 8, 2026, 9:13 a.m. |
| PD | Predicate disambiguation | batch_69fda5973fcc8190a57daef31fb70a49 |
completed | May 8, 2026, 8:57 a.m. |
Created at: May 3, 2026, 4:15 p.m.