Triple

T27245751
Position Surface form Disambiguated ID Type / Status
Subject Srikaranpur E687338 entity
Predicate locatedInGeopoliticalRegion P17963 FINISHED
Object India–Pakistan border area
The India–Pakistan border area is a politically sensitive and heavily monitored frontier region marked by military presence, restricted zones, and significant historical and strategic importance for both countries.
 E183127 NE 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: India–Pakistan border area | Statement: [Srikaranpur, locatedInGeopoliticalRegion, India–Pakistan border area]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: India–Pakistan border area
Triple: [Srikaranpur, locatedInGeopoliticalRegion, India–Pakistan border area]
Generated description
The India–Pakistan border area is a politically sensitive and heavily monitored frontier region marked by military presence, restricted zones, and significant historical and strategic importance for both countries.

Provenance (5 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_69ef355547408190b5ca0d777c65040a completed April 27, 2026, 10:07 a.m.
NER Named-entity recognition batch_69f62680e24c8190aa28313ae86b85a0 completed May 2, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a129c9b53288190a40e0d5a3b911e89 completed May 24, 2026, 6:37 a.m.
NEDg Description generation batch_6a129d08fee081909f909d5aced29f88 completed May 24, 2026, 6:39 a.m.
NED2 Entity disambiguation (via description) batch_6a129efde4988190b94a8985fe948cd0 completed May 24, 2026, 6:47 a.m.
Created at: April 27, 2026, 10:41 a.m.