Triple
T37532553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilpen, Pennsylvania |
E933094
|
entity |
| Predicate | ruralMunicipalityStatus |
P129111
|
FINISHED |
| Object | rural community |
—
|
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: rural community | Statement: [Wilpen, Pennsylvania, ruralMunicipalityStatus, rural community]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ruralMunicipalityStatus Context triple: [Wilpen, Pennsylvania, ruralMunicipalityStatus, rural community]
-
A.
hasRuralMunicipalityStatus
chosen
Indicates that an administrative entity holds the official legal status of a rural municipality.
-
B.
isRuralMunicipalityOf
Indicates that one entity is a rural municipality that is administratively or geographically part of, or governed by, another entity.
-
C.
municipalityStatusAtLocation
Indicates that an entity holds a specific municipal status (e.g., city, town, village) at or within a particular geographic location.
-
D.
hasRuralCouncilStatus
Indicates that an entity holds the official designation or legal status of a rural council within a given administrative or governance system.
-
E.
hasRuralMunicipalityNumber
Indicates that an entity is associated with a specific identifying number assigned to its rural municipality.
- 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_69f76ec8862c8190bfa24145f5480642 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba5eec0448190a5e6f0c43fdcd0e3 |
completed | May 6, 2026, 8:34 p.m. |
| PD | Predicate disambiguation | batch_69fba34edd548190bfa980e6e16e0a88 |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 3, 2026, 4:17 p.m.