Triple

T37649723
Position Surface form Disambiguated ID Type / Status
Subject Bilafond La E937137 entity
Predicate notableFor P22 FINISHED
Object India–Pakistan military standoff
The India–Pakistan military standoff refers to the prolonged high-altitude confrontation between Indian and Pakistani forces over the Siachen Glacier and surrounding areas in the eastern Karakoram range.
E2238579 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 military standoff | Statement: [Bilafond La, notableFor, India–Pakistan military standoff]
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 military standoff
Triple: [Bilafond La, notableFor, India–Pakistan military standoff]
Generated description
The India–Pakistan military standoff refers to the prolonged high-altitude confrontation between Indian and Pakistani forces over the Siachen Glacier and surrounding areas in the eastern Karakoram range.

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_69f76ed4fe908190b8061c5c135e0971 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fba989336c8190b4d957c00cd566aa completed May 6, 2026, 8:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40cdaf148c81909f01d3b0c5e4e884 completed June 28, 2026, 7:30 a.m.
NEDg Description generation batch_6a40ce8641f48190b092a17b7510ff41 completed June 28, 2026, 7:34 a.m.
NED2 Entity disambiguation (via description) batch_6a40cf0a14208190a8477690cbebfb66 completed June 28, 2026, 7:36 a.m.
Created at: May 3, 2026, 4:18 p.m.