Triple
T37092751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wellington, Colorado |
E918469
|
entity |
| Predicate | borderingStateToNorth |
P120369
|
FINISHED |
| Object | Wyoming |
—
|
NE NERFINISHED |
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: Wyoming | Statement: [Wellington, Colorado, borderingStateToNorth, Wyoming]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderingStateToNorth Context triple: [Wellington, Colorado, borderingStateToNorth, Wyoming]
-
A.
borderedToNorthBy
Indicates that one entity lies directly to the north of another, sharing a common boundary along its southern edge.
-
B.
borderingPoliticalEntityNorth
chosen
Indicates that one political entity lies directly to the north of, and shares a border with, another political entity.
-
C.
northernBorderLiesAcross
Indicates that the northern border of one region extends across or passes through the area of another region.
-
D.
borderStateOf
Indicates that one state shares a common boundary or border with another state.
-
E.
borderingCountryOfState
Indicates that one country shares a land or maritime boundary directly with the specified state.
- 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_69f76e9a48bc8190a3947508d8bca408 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fff59a00a881909b35b799654b3c45 |
completed | May 10, 2026, 3:03 a.m. |
| PD | Predicate disambiguation | batch_69fff4d0a2e081909c972189b33d0128 |
completed | May 10, 2026, 3 a.m. |
Created at: May 3, 2026, 4:14 p.m.