Triple
T8380304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MVRD |
E197670
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object | Delta |
E197671
|
NE 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: Delta | Statement: [MVRD, containsMunicipality, Delta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Delta Context triple: [MVRD, containsMunicipality, Delta]
-
A.
Delta
Delta is a small city in central Utah known historically for agriculture, nearby fossil sites, and its proximity to the former Topaz War Relocation Center.
-
B.
Delta
chosen
Delta is a suburban coastal municipality in British Columbia, Canada, known for its agricultural lands, wetlands, and role as part of the Greater Vancouver area.
-
C.
Delta
Delta is a station on the Brussels Metro system in Belgium, serving as a transit point for passengers within the city's rapid transit network.
-
D.
Delta
Delta is a type of organizational unit designation used by the United States Space Force for its operational space mission units.
-
E.
Delta
Delta is a major U.S. airline known for its extensive global route network and customer-focused travel services.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca82f64c188190af4e1608036b865d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80c57080819097eef2b7e46eaaee |
completed | March 31, 2026, 8:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde803ac088190ae185ef444c9c7b9 |
completed | April 2, 2026, 3:52 a.m. |
Created at: March 30, 2026, 6:02 p.m.