Triple
T37574437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Hampshire–Quebec border |
E934777
|
entity |
| Predicate | borderingUSState |
P22803
|
FINISHED |
| Object | New Hampshire |
—
|
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: New Hampshire | Statement: [New Hampshire–Quebec border, borderingUSState, New Hampshire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderingUSState Context triple: [New Hampshire–Quebec border, borderingUSState, New Hampshire]
-
A.
borderingStateOrTerritory
Indicates that one state or territory shares a common boundary with another state or territory.
-
B.
borderingCountryOfState
Indicates that one country shares a land or maritime boundary directly with the specified state.
-
C.
borderingOpposingState
Indicates that one state shares a border with another state that is politically, militarily, or ideologically opposed to it.
-
D.
USStateBorderFor
chosen
Indicates that a U.S. state serves as a bordering state for the specified geographic or political entity.
-
E.
provinceBordering
Indicates that two provinces share a common boundary or border with each other.
- 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_69f76ecd99148190be327e391a70f5b6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a000efe971081909de03f875a7ad6cc |
completed | May 10, 2026, 4:52 a.m. |
| PD | Predicate disambiguation | batch_6a000c4ffe788190a5757af60aadd9f3 |
completed | May 10, 2026, 4:40 a.m. |
Created at: May 3, 2026, 4:17 p.m.