Triple
T34348118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dangam District |
E881491
|
entity |
| Predicate | countryBorderStatus |
P203251
|
FINISHED |
| Object | border district |
—
|
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: border district | Statement: [Dangam District, countryBorderStatus, border district]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryBorderStatus Context triple: [Dangam District, countryBorderStatus, border district]
-
A.
countryBorderType
Indicates the type or nature of the border relationship that exists between two countries.
-
B.
countryBorderRelation
Indicates that two countries share a common land or maritime boundary with each other.
-
C.
nationalBorder
Indicates that two geographic or political entities share a common national boundary separating their territories.
-
D.
countryOnBorder
Indicates that a country shares a land or maritime border with a specified geographic region or entity.
-
E.
countryBorderFunction
Indicates that one country shares a land or maritime boundary with another country.
- F. None of above. chosen
Provenance (4 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_69f349bc55e881908c8e338ef76b0043 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a0141fceb908190863778741bd4487d |
completed | May 11, 2026, 2:42 a.m. |
| PD | Predicate disambiguation | batch_6a0141a9628c819090c0b24ce052a2fb |
completed | May 11, 2026, 2:40 a.m. |
| PDg | Predicate description generation | batch_6a0141fc48b481909f0ae4a73b0e1592 |
completed | May 11, 2026, 2:42 a.m. |
Created at: May 1, 2026, 1:58 a.m.