Triple
T27392883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woodhaven, Michigan |
E691586
|
entity |
| Predicate | isIndustrialCorridorPart |
P77611
|
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: [Woodhaven, Michigan, isIndustrialCorridorPart, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isIndustrialCorridorPart Context triple: [Woodhaven, Michigan, isIndustrialCorridorPart, true]
-
A.
isIndustrialCorridor
Indicates that an area or route is designated and used primarily for industrial activities, facilities, or transportation.
-
B.
partOfEconomicCorridor
chosen
Indicates that one entity is included within, or constitutes a segment of, a larger defined economic corridor.
-
C.
locatedInTransportCorridor
Indicates that an entity is situated within a designated transport corridor used for the movement of people or goods.
-
D.
hasFamousIndustrialCorridor
Indicates that a place or region contains a well-known industrial corridor recognized for its concentration of industrial or manufacturing activity.
-
E.
hasCommercialCorridorAlong
Indicates that a place contains a continuous stretch of commercial activity or businesses situated along a specified linear feature, such as a street or route.
- 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_69ef520386788190bc92cfcd97ebb67a |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f62cd2ceb481908cd9fae52a542206 |
completed | May 2, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69f62c1762f881908c25e8f70ecd5041 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 12:26 p.m.