Triple
T38199876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bath, West Virginia |
E1009022
|
entity |
| Predicate | postOfficeName |
P58620
|
FINISHED |
| Object | Berkeley Springs |
—
|
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: Berkeley Springs | Statement: [Bath, West Virginia, postOfficeName, Berkeley Springs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: postOfficeName Context triple: [Bath, West Virginia, postOfficeName, Berkeley Springs]
-
A.
postalName
chosen
Indicates the standardized name or label used for addressing and postal purposes associated with an entity.
-
B.
postalCityForMail
Indicates that a particular city is designated as the official mailing city for a given address or location.
-
C.
postalServiceDesignation
Indicates the official classification or label assigned to an entity by a postal service for mail handling, routing, or addressing purposes.
-
D.
postalService
Indicates a relationship where one entity provides or manages the delivery and handling of mail and packages for another entity.
-
E.
postOfficeLife
Indicates a relationship where an entity’s life, activities, or experiences are centered around, shaped by, or closely associated with working in or regularly engaging with a post office environment.
- 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_69f76dc94fcc8190bd2f55e81f9d6527 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcc42cbac48190b8d3e4c9ce140838 |
completed | May 7, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fc69c88190800453eb57a7e62c |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 3, 2026, 4:30 p.m.