Triple
T19418621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lower Burrell, Pennsylvania |
E485785
|
entity |
| Predicate | isIndustrialRegionPart |
P49790
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Lower Burrell, Pennsylvania, isIndustrialRegionPart, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isIndustrialRegionPart Context triple: [Lower Burrell, Pennsylvania, isIndustrialRegionPart, true]
-
A.
isIndustrialRegion
Indicates that a given area functions primarily as a center of industrial activity, characterized by significant manufacturing, production, or related industrial operations.
-
B.
partOfIndustrialRegion
chosen
Indicates that an entity is located within or belongs to a broader industrial region or industrially developed area.
-
C.
isIndustrialAreaOf
Indicates that a location functions primarily as an industrial zone or district associated with a specified area or jurisdiction.
-
D.
servesIndustrialRegion
Indicates that an entity provides services or support to an industrial region, fulfilling functional or operational needs of that area.
-
E.
hasIndustrialZoneAlong
Indicates that an industrial zone is located adjacent to or extending along the length of a specified linear feature (such as a road, river, or boundary).
- 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_69d8e8d688f881909c85104a62e09d8a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62afbaf0c8190913eda4b04efbe67 |
completed | April 20, 2026, 1:32 p.m. |
| PD | Predicate disambiguation | batch_69e4fd68b1f881908d273de1fee81a75 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:37 p.m.