Triple
T13129296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vineland, Colorado |
E311924
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | Vineland |
E311924
|
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: Vineland | Statement: [Vineland, Colorado, hasName, Vineland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vineland Context triple: [Vineland, Colorado, hasName, Vineland]
-
A.
Vineland
Vineland is a small city in Cumberland County, New Jersey, known for its agricultural roots and role as a regional commercial center in South Jersey.
-
B.
Vineland
chosen
Vineland is a small unincorporated community in Pueblo County, Colorado, known primarily for its agricultural activity and proximity to the city of Pueblo.
-
C.
Vineland
Vineland is a community in the town of Lincoln, Ontario, known for its fruit farming, wineries, and agricultural research.
-
D.
Vineland, New Jersey
Vineland, New Jersey is a small city in Cumberland County known for its agricultural roots, food processing industry, and role as a regional commercial center in South Jersey.
-
E.
Neptune City
Neptune City is a coastal nickname for Virginia Beach, Virginia, highlighting its strong association with the sea and oceanfront culture.
- 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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9819bfd348190a22d44f837877e1c |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e28e922881909584296adc95d9b4 |
completed | May 3, 2026, 5:52 a.m. |
Created at: April 9, 2026, 9:07 p.m.