Triple

T31529247
Position Surface form Disambiguated ID Type / Status
Subject Baabda, Mount Lebanon Governorate E804431 entity
Predicate governedBy P46 FINISHED
Object Baabda Municipality Council
Baabda Municipality Council is the local governing body responsible for administering municipal affairs and public services in the city of Baabda in Lebanon.
E1967630 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: Baabda Municipality Council | Statement: [Baabda, Mount Lebanon Governorate, governedBy, Baabda Municipality Council]
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: Baabda Municipality Council
Triple: [Baabda, Mount Lebanon Governorate, governedBy, Baabda Municipality Council]
Generated description
Baabda Municipality Council is the local governing body responsible for administering municipal affairs and public services in the city of Baabda in Lebanon.

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_69f348d03ef88190a2b73d7b94b9e02d completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6a77d767c81908e4102666e16699d completed May 3, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2b2d7ea8dc8190868b256a7a6fbde0 completed June 11, 2026, 9:49 p.m.
NEDg Description generation batch_6a2b316024bc8190ba9d3b95abffe713 completed June 11, 2026, 10:06 p.m.
NED2 Entity disambiguation (via description) batch_6a2b3222dbac8190a3a5c1b3b924306a completed June 11, 2026, 10:09 p.m.
Created at: April 30, 2026, 10 p.m.