Triple

T23987646
Position Surface form Disambiguated ID Type / Status
Subject 1967 Six-Day War armistice lines E604980 entity
Predicate contestedBy P2693 FINISHED
Object Arab states
The Arab states are a group of predominantly Arabic-speaking countries in the Middle East and North Africa that share cultural, historical, and political ties and often coordinate through the Arab League.
E1612131 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: Arab states | Statement: [1967 Six-Day War armistice lines, contestedBy, Arab states]
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: Arab states
Triple: [1967 Six-Day War armistice lines, contestedBy, Arab states]
Generated description
The Arab states are a group of predominantly Arabic-speaking countries in the Middle East and North Africa that share cultural, historical, and political ties and often coordinate through the Arab League.

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_69e295463f7c8190b1c19dbd114641b9 completed April 17, 2026, 8:17 p.m.
NER Named-entity recognition batch_69f1d38838f481909a52fccd392a92df completed April 29, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f7e8a2ad08190b6ed10936e770d29 completed May 21, 2026, 9:52 p.m.
NEDg Description generation batch_6a0f7effdaec8190ad809bb1f17fa883 completed May 21, 2026, 9:54 p.m.
NED2 Entity disambiguation (via description) batch_6a0f7f84f8c881909f889b0b0ef7fd27 completed May 21, 2026, 9:56 p.m.
Created at: April 17, 2026, 9:36 p.m.