Triple
T34760317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unincorporated Maine Township, Illinois |
E1002045
|
entity |
| Predicate | notWithin |
P181584
|
FINISHED |
| Object | any incorporated city |
—
|
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: any incorporated city | Statement: [Unincorporated Maine Township, Illinois, notWithin, any incorporated city]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notWithin Context triple: [Unincorporated Maine Township, Illinois, notWithin, any incorporated city]
-
A.
notCoterminousWith
Indicates that two entities do not share the same boundaries in space, time, or extent and therefore are not exactly coincident.
-
B.
notCrossing
Indicates that two entities do not intersect, overlap, or pass through each other in space or along their paths.
-
C.
notEnforcedBy
Indicates that a rule, policy, or obligation is not upheld, imposed, or carried out by the referenced enforcing entity.
-
D.
doesNot
Indicates that a specified entity lacks, refrains from, or fails to perform a particular action or exhibit a particular property in relation to another entity or context.
-
E.
notAfter
Indicates that one event or entity does not occur later than (i.e., is earlier than or at the same time as) another in an ordering or timeline.
- F. None of above. chosen
Provenance (4 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_69f76db0fb30819096709d43f9a1f45f |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77ffa6b68819090257fed3802c239 |
completed | May 3, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69f7795978c481909e152cd1bd02dd07 |
completed | May 3, 2026, 4:35 p.m. |
| PDg | Predicate description generation | batch_69f77ff804f08190b431a31e6179ace4 |
completed | May 3, 2026, 5:03 p.m. |
Created at: May 3, 2026, 3:59 p.m.