Triple
T37209833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twin Cities Assembly Plant |
E922268
|
entity |
| Predicate | ownedSiteArea |
P176909
|
FINISHED |
| Object | approximately 122-acre riverfront site |
—
|
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: approximately 122-acre riverfront site | Statement: [Twin Cities Assembly Plant, ownedSiteArea, approximately 122-acre riverfront site]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ownedSiteArea Context triple: [Twin Cities Assembly Plant, ownedSiteArea, approximately 122-acre riverfront site]
-
A.
originalSiteArea
Indicates the total land area of the site in its initial or pre-modified state.
-
B.
coveredArea
Indicates that one entity occupies or extends over a specific spatial region or surface area associated with another entity.
-
C.
areaOf
Indicates that one entity represents the measured surface extent (area) of another entity.
-
D.
physicalArea
chosen
Indicates a relationship where an entity has, occupies, or is associated with a specific physical area or spatial extent.
-
E.
representedArea
Indicates that one entity serves as a representation or depiction of a particular area or region.
- 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_69f76ea4849481909b4a3073efb0114c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb55de3b9c8190a7656aeab3c3ffbc |
completed | May 6, 2026, 2:53 p.m. |
| PD | Predicate disambiguation | batch_69fb35bc92e08190bff447624e2df791 |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 3, 2026, 4:15 p.m.