Triple
T35136780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunauli border crossing |
E1014593
|
entity |
| Predicate | borderSecurityAgencyIndia |
P200561
|
FINISHED |
| Object | Sashastra Seema Bal |
—
|
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: Sashastra Seema Bal | Statement: [Sunauli border crossing, borderSecurityAgencyIndia, Sashastra Seema Bal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderSecurityAgencyIndia Context triple: [Sunauli border crossing, borderSecurityAgencyIndia, Sashastra Seema Bal]
-
A.
borderSecurityAgencySouthAfrica
Indicates a relationship where an agency is responsible for managing or enforcing border security in South Africa.
-
B.
borderGuardDuty
Indicates that an entity is assigned to perform security or monitoring duties at a border or checkpoint.
-
C.
hasBorderTownOnIndianSide
Indicates that a location has a corresponding town situated on the Indian side of an international border.
-
D.
borderingIndianStates
Indicates that one or more Indian states share a common land or maritime boundary with a given geographic or political entity.
-
E.
borderStation
Indicates a facility or checkpoint located at or near a border where cross-boundary movement, control, or processing of people or goods occurs.
- 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_69f76dd9c1848190af70d4882a2c1ad7 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff965f9be48190b015b788207be676 |
completed | May 9, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69ff95d3015c8190b9d293fe31b859c3 |
completed | May 9, 2026, 8:15 p.m. |
| PDg | Predicate description generation | batch_69ff965eef90819097499d1f0542378c |
completed | May 9, 2026, 8:17 p.m. |
Created at: May 3, 2026, 4:02 p.m.