Triple
T26772369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ichihara |
E670013
|
entity |
| Predicate | hasIndustrialHarbor |
P95801
|
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: [Ichihara, hasIndustrialHarbor, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIndustrialHarbor Context triple: [Ichihara, hasIndustrialHarbor, true]
-
A.
hasIndustrialPort
chosen
Indicates that a location possesses a port facility specifically equipped and used for industrial or commercial shipping activities.
-
B.
hasIndustrialTown
Indicates that an entity possesses or is associated with a town characterized primarily by industrial activities or facilities.
-
C.
hasHarbor
Indicates that a place possesses or contains a harbor for docking or sheltering vessels.
-
D.
hasShipyardIn
Indicates that an entity operates or possesses a shipyard located in a specified place.
-
E.
hasIndustrialZoneAlong
Indicates that an industrial zone is located adjacent to or extending along the length of a specified linear feature (such as a road, river, or boundary).
- 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_69eeb31c925881909b597f6e40056d28 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd13595c81908719f52c3d37a7e8 |
completed | May 6, 2026, 10:13 p.m. |
Created at: April 27, 2026, 4:03 a.m.