Triple
T27264969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waimea (Kamuela) |
E687874
|
entity |
| Predicate | reasonForPostalName |
P136826
|
FINISHED |
| Object | to distinguish it from other places named Waimea in Hawaii |
—
|
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: to distinguish it from other places named Waimea in Hawaii | Statement: [Waimea (Kamuela), reasonForPostalName, to distinguish it from other places named Waimea in Hawaii]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForPostalName Context triple: [Waimea (Kamuela), reasonForPostalName, to distinguish it from other places named Waimea in Hawaii]
-
A.
postalNameReason
chosen
Indicates the reason or justification for assigning or using a particular postal name in an address or location context.
-
B.
postalName
Indicates the standardized name or label used for addressing and postal purposes associated with an entity.
-
C.
reasonForName
Indicates the explanation or cause behind why an entity has a particular name.
-
D.
postalCodeOrigin
Indicates the postal code associated with the place from which something originates or is sent.
-
E.
postalArea
Indicates that one entity is the postal or ZIP code area associated with the location or address represented by the other 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_69ef3557abc481908bf3c146f0f3356a |
completed | April 27, 2026, 10:07 a.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. |
Created at: April 27, 2026, 10:55 a.m.