Triple
T27752663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andhra Pradesh–Karnataka border |
E701250
|
entity |
| Predicate | hasAdjacentAdministrativeUnits |
P168028
|
FINISHED |
| Object | districts of Andhra Pradesh |
—
|
LITERAL 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: districts of Andhra Pradesh | Statement: [Andhra Pradesh–Karnataka border, hasAdjacentAdministrativeUnits, districts of Andhra Pradesh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAdjacentAdministrativeUnits Context triple: [Andhra Pradesh–Karnataka border, hasAdjacentAdministrativeUnits, districts of Andhra Pradesh]
-
A.
hasAdjacentJurisdiction
Indicates that one jurisdiction directly borders or is immediately next to another jurisdiction.
-
B.
hasNeighbouringDivision
chosen
Indicates that one division is directly adjacent to and shares a boundary with another division.
-
C.
adjacentProvince
Indicates that two provinces share a common boundary and are directly next to each other geographically.
-
D.
hasAdjacentSettlement
Indicates that one settlement is located directly next to or bordering another settlement.
-
E.
hasAdjacentArrondissement
Indicates that one arrondissement is directly next to or shares a boundary with another arrondissement.
- 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_69ef6a5193808190816eb7d0020b2d87 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f6bbf6e33c819086e5176d64e7a614 |
completed | May 3, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6b1e6c8190adf9d6a257e0b744 |
completed | May 3, 2026, 3 a.m. |
Created at: April 27, 2026, 4:21 p.m.