Triple

T6729941
Position Surface form Disambiguated ID Type / Status
Subject Khe Sanh E153608 entity
Predicate near P350 FINISHED
Object Route 9 E153611 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: Route 9 | Statement: [Khe Sanh, near, Route 9]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Route 9
Context triple: [Khe Sanh, near, Route 9]
  • A. Route 9 chosen
    Route 9 is a strategically important road in Quảng Trị Province, Vietnam, that served as a key supply and military route near the Demilitarized Zone during the Vietnam War.
  • B. Route 9
    Route 9 is a major east–west arterial roadway in Massachusetts that connects Boston with its western suburbs and serves as a key commuter and commercial corridor.
  • C. Route 9
    Route 9 is a major state highway in Connecticut that serves as a key north–south arterial route linking central Connecticut communities and connecting to other primary regional highways.
  • D. Route 99
    Route 99 is a state highway in Massachusetts that runs north of Boston, serving as a key urban connector through cities such as Everett and Malden.
  • E. Route 7
    Route 7 is a major highway in northern Virginia that serves as a key commuter and commercial corridor connecting communities such as Lansdowne with the Washington, D.C. metropolitan area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c6880bdd68819097de8b6099992682 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d15591c8819082620d194eba3e9d completed March 27, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70b00ba9c8190aaae2220972ff4f2 completed March 27, 2026, 10:56 p.m.
Created at: March 27, 2026, 2:09 p.m.