Triple
T21164614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Centreville, Illinois |
E521525
|
entity |
| Predicate | hasPublicServiceIssue |
P136718
|
FINISHED |
| Object | limited municipal resources |
—
|
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: limited municipal resources | Statement: [Centreville, Illinois, hasPublicServiceIssue, limited municipal resources]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPublicServiceIssue Context triple: [Centreville, Illinois, hasPublicServiceIssue, limited municipal resources]
-
A.
hasIssueWith
Indicates that one entity experiences a problem, conflict, or concern related to another entity.
-
B.
hasSupportService
Indicates that one entity provides or is associated with a support-related service for another entity.
-
C.
hasOngoingIssues
chosen
Indicates that an entity is currently experiencing unresolved or continuing problems or difficulties.
-
D.
hasManagementIssue
Indicates that an entity is affected by, involved in, or characterized by a problem, deficiency, or concern related to its management or managerial practices.
-
E.
hasRecentIssue
Indicates that an entity is associated with an issue or problem that has occurred within a recent or specified time frame.
- 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_69e0b50e30748190b186824a206d39b9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7270e15bc81908d609198e573040e |
completed | April 21, 2026, 7:28 a.m. |
| PD | Predicate disambiguation | batch_69e5f5f8a5bc819081918c7fa8e4496d |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 2:59 p.m.