Triple

T33013104

Position	Surface form	Disambiguated ID	Type / Status
Subject	Sego	`E844696`	entity
Predicate	natoDesignationFor	`P6062`	FINISHED
Object	Soviet 9M17 Falanga family The Soviet 9M17 Falanga family is a series of early wire-guided anti-tank guided missiles developed by the Soviet Union and widely used during the Cold War.	`E2032609`	NE FINISHED

How this triple was built (3 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: Soviet 9M17 Falanga family | Statement: [Sego, natoDesignationFor, Soviet 9M17 Falanga family]

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: Soviet 9M17 Falanga family
Triple: [Sego, natoDesignationFor, Soviet 9M17 Falanga family]

Generated description

The Soviet 9M17 Falanga family is a series of early wire-guided anti-tank guided missiles developed by the Soviet Union and widely used during the Cold War.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: natoDesignationFor
Context triple: [Sego, natoDesignationFor, Soviet 9M17 Falanga family]

A. isMilitaryAssetOf
Indicates that something functions as a military resource, equipment, or facility that belongs to, is controlled by, or is used by a particular entity.
B. hasMilitaryDesignation
Indicates that an entity is assigned a specific military-related code, title, or classification.
C. natoReportingNameOfBaseAircraft
Indicates that one entity is the NATO reporting name assigned to the other entity, which is the original (base) aircraft model.
D. russianDesignation
Indicates that one entity is the Russian-language name, label, or designation used to refer to another entity.
E. NATOcode chosen
Indicates that there is a specified NATO (North Atlantic Treaty Organization) code assigned to or associated with an entity.
F. None of above.

Provenance (6 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_69f3494f3b4081909dccf2af34372a26`	completed	April 30, 2026, 12:21 p.m.
NER	Named-entity recognition	`batch_69f6d74b20a48190900dda1014cc13a8`	completed	May 3, 2026, 5:04 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a34dad53b58819081a0938277e22b89`	completed	June 19, 2026, 5:59 a.m.
NEDg	Description generation	`batch_6a34db8b54248190bbae5ab7444e5a08`	completed	June 19, 2026, 6:02 a.m.
NED2	Entity disambiguation (via description)	`batch_6a34dc8ff0b48190a6a9561683f13215`	completed	June 19, 2026, 6:07 a.m.
PD	Predicate disambiguation	`batch_69f6d26f27dc8190ae426a3e1573933e`	completed	May 3, 2026, 4:43 a.m.

Created at: May 1, 2026, 1:23 a.m.