Triple

T25074127
Position Surface form Disambiguated ID Type / Status
Subject MFO E628000 entity
Predicate hasSectorHQ P141133 FINISHED
Object North Camp, El Gorah, Sinai
North Camp, El Gorah, Sinai is the main northern headquarters base of the Multinational Force and Observers (MFO) peacekeeping mission in Egypt’s Sinai Peninsula.
 E1663903 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: North Camp, El Gorah, Sinai | Statement: [MFO, hasSectorHQ, North Camp, El Gorah, Sinai]
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: North Camp, El Gorah, Sinai
Triple: [MFO, hasSectorHQ, North Camp, El Gorah, Sinai]
Generated description
North Camp, El Gorah, Sinai is the main northern headquarters base of the Multinational Force and Observers (MFO) peacekeeping mission in Egypt’s Sinai Peninsula.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasSectorHQ
Context triple: [MFO, hasSectorHQ, North Camp, El Gorah, Sinai]
  • A. hasHeadquartersRoleFor
    Indicates that an entity holds a specific role or position within the headquarters of another entity.
  • B. hasHeadquartersType
    Indicates the specific kind or classification of headquarters associated with an entity.
  • C. hasHigherHeadquarters
    Indicates that one organizational unit serves as the superior or parent headquarters overseeing another unit.
  • D. hasHeadquartersFunctionFor chosen
    Indicates that an entity serves as the central coordinating or managing headquarters for another entity’s operations or activities.
  • E. hasOwnerHeadquartersIn
    Indicates that the owning entity’s main headquarters is located in the specified place.
  • 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_69e2ff2d71dc8190b4758e57d643cbe4 completed April 18, 2026, 3:49 a.m.
NER Named-entity recognition batch_69f6640168948190811bd5f933a87cf5 completed May 2, 2026, 8:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1048dc588c819094702d2468ca7f44 completed May 22, 2026, 12:15 p.m.
NEDg Description generation batch_6a104c591a848190b0b2277baf8088e3 completed May 22, 2026, 12:30 p.m.
NED2 Entity disambiguation (via description) batch_6a104cc33b248190a733b46986c28a6a completed May 22, 2026, 12:32 p.m.
PD Predicate disambiguation batch_69f6633451948190bcc0410602bb4914 completed May 2, 2026, 8:48 p.m.
Created at: April 18, 2026, 6:20 a.m.