Triple
T26176036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chickaloon |
E654542
|
entity |
| Predicate | isInBoroughSeatServiceArea |
P81093
|
FINISHED |
| Object | Palmer-centered borough administration |
—
|
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: Palmer-centered borough administration | Statement: [Chickaloon, isInBoroughSeatServiceArea, Palmer-centered borough administration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInBoroughSeatServiceArea Context triple: [Chickaloon, isInBoroughSeatServiceArea, Palmer-centered borough administration]
-
A.
hasServiceInBorough
chosen
Indicates that a service operates within, is available in, or is provided in a specified borough.
-
B.
isBoroughSeatOf
Indicates that a place serves as the administrative center or seat of government for a specific borough.
-
C.
hasBoroughPresidentJurisdiction
Indicates that a borough president has official authority or administrative jurisdiction over a specified geographic or political area.
-
D.
isInCountySeatMetroArea
Indicates that an entity is located within the metropolitan area of a county seat.
-
E.
hasBorough
Indicates that one entity is located within, belongs to, or is administratively part of a specific borough.
- 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_69ee5b45873c81909499203612d05d07 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f60c6bc408819098c4288f77d75e38 |
completed | May 2, 2026, 2:38 p.m. |
| PD | Predicate disambiguation | batch_69f5b0021da88190bdd4cf2698c23edf |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 26, 2026, 8:37 p.m.