Triple
T27349650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dhemaji |
E684319
|
entity |
| Predicate | borderingStateAtDistrictLevel |
P134274
|
FINISHED |
| Object | Arunachal Pradesh |
—
|
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: Arunachal Pradesh | Statement: [Dhemaji, borderingStateAtDistrictLevel, Arunachal Pradesh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderingStateAtDistrictLevel Context triple: [Dhemaji, borderingStateAtDistrictLevel, Arunachal Pradesh]
-
A.
borderingCivilState
Indicates that one civil administrative state directly shares a land or maritime boundary with another civil administrative state.
-
B.
borderingStateOrProvince
Indicates that one state or province shares a common boundary with another state or province.
-
C.
borderingConstituencyState
chosen
Indicates that a constituency shares a common boundary with a particular state.
-
D.
borderingStateOrTerritory
Indicates that one state or territory shares a common boundary with another state or territory.
-
E.
borderStateOf
Indicates that one state shares a common boundary or border with another 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_69ef1480a76481908684256ddd5bfda3 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69fcc4b700748190ae00b21d09c96695 |
completed | May 7, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fcb0f9d3d881908a049475182fb039 |
completed | May 7, 2026, 3:34 p.m. |
Created at: April 27, 2026, 11:47 a.m.