Triple
T20919808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buzen |
E515174
|
entity |
| Predicate | hasFishingHarbor |
P36081
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Buzen, hasFishingHarbor, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFishingHarbor Context triple: [Buzen, hasFishingHarbor, true]
-
A.
isFishingPort
chosen
Indicates that a location functions primarily as a port where fishing vessels operate and fish-related activities such as landing, processing, or trading catch take place.
-
B.
hasFishingBoats
Indicates that one entity possesses, operates, or is associated with one or more fishing boats.
-
C.
hasFishingAccess
Indicates that an entity is permitted or able to fish in or otherwise use a particular water body or fishing area.
-
D.
hasFishingSpecies
Indicates that a location, body of water, or fishing area supports or contains one or more specific species that can be fished there.
-
E.
hasFishingCommunities
Indicates that there exist communities in a given area or entity whose livelihoods or primary activities are based on fishing.
- 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_69e0b4f9d5ec8190bb2bd27350ed341c |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6ec66593c819091ecf0c553e0aead |
completed | April 21, 2026, 3:17 a.m. |
| PD | Predicate disambiguation | batch_69e5c9ac91108190a6700fcdf2f11890 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:48 p.m.