Triple

T3199136
Position Surface form Disambiguated ID Type / Status
Subject 2nd Battalion, 4th Marines E67004 entity
Predicate abbreviation P43 FINISHED
Object 2/4
2/4 is a battalion of the United States Marine Corps known as the 2nd Battalion, 4th Marines, an infantry unit with a long history of combat deployments.
 E336269 NE FINISHED

How this triple was built (4 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: 2/4 | Statement: [2nd Battalion, 4th Marines, abbreviation, 2/4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 2/4
Context triple: [2nd Battalion, 4th Marines, abbreviation, 2/4]
  • A. Cuartero
    Cuartero is a rural municipality in the province of Capiz in the Western Visayas region of the Philippines.
  • B. D-2
    D-2 was a 1993 German-led Spacelab space shuttle mission focused on microgravity and life sciences research in low Earth orbit.
  • C. D2
    D2 is a line of the Moscow Central Diameters suburban rail system, providing cross-city commuter rail service through Moscow and its surrounding areas.
  • D. S2
    S2 is a line of Berlin's S-Bahn rapid transit network that connects northern and southern suburbs through the city center.
  • E. B4
    B4 is the internal designation for the fourth-generation Volkswagen Passat, produced in the mid-1990s with updated styling and engineering over its predecessor.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: 2/4
Triple: [2nd Battalion, 4th Marines, abbreviation, 2/4]
Generated description
2/4 is a battalion of the United States Marine Corps known as the 2nd Battalion, 4th Marines, an infantry unit with a long history of combat deployments.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 2/4
Target entity description: 2/4 is a battalion of the United States Marine Corps known as the 2nd Battalion, 4th Marines, an infantry unit with a long history of combat deployments.
  • A. Cuartero
    Cuartero is a rural municipality in the province of Capiz in the Western Visayas region of the Philippines.
  • B. D-2
    D-2 was a 1993 German-led Spacelab space shuttle mission focused on microgravity and life sciences research in low Earth orbit.
  • C. D2
    D2 is a line of the Moscow Central Diameters suburban rail system, providing cross-city commuter rail service through Moscow and its surrounding areas.
  • D. S2
    S2 is a line of Berlin's S-Bahn rapid transit network that connects northern and southern suburbs through the city center.
  • E. B4
    B4 is the internal designation for the fourth-generation Volkswagen Passat, produced in the mid-1990s with updated styling and engineering over its predecessor.
  • F. None of above. chosen

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_69ad8589bd988190afa7ed2bdffb7b33 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada9abe8f88190a4c2ccc31add7959 completed March 8, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24bbdc9908190b5d8328f6fbc6002 completed March 12, 2026, 5:14 a.m.
NEDg Description generation batch_69b25034bc4481909c860099cc1aa311 completed March 12, 2026, 5:33 a.m.
NED2 Entity disambiguation (via description) batch_69b251458ab48190a374f910103763f2 completed March 12, 2026, 5:38 a.m.
Created at: March 8, 2026, 3:07 p.m.