Triple

T36732006
Position Surface form Disambiguated ID Type / Status
Subject Historic Centre of Bethlehem E907365 entity
Predicate contains P35 FINISHED
Object Pilgrimage Route, Bethlehem
Pilgrimage Route, Bethlehem is the traditional processional path followed by Christian pilgrims through Bethlehem, leading to key holy sites associated with the birth of Jesus.
E907365 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: Pilgrimage Route, Bethlehem | Statement: [Historic Centre of Bethlehem, contains, Pilgrimage Route, Bethlehem]
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: Pilgrimage Route, Bethlehem
Triple: [Historic Centre of Bethlehem, contains, Pilgrimage Route, Bethlehem]
Generated description
Pilgrimage Route, Bethlehem is the traditional processional path followed by Christian pilgrims through Bethlehem, leading to key holy sites associated with the birth of Jesus.

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_69f76e75aa6881909b844d00a3888ee5 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7c8f7661c81908984f2dfa8decd9d completed May 3, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3a3840b02c8190ad28d0f95b047159 completed June 23, 2026, 7:39 a.m.
NEDg Description generation batch_6a3a38e3e30481909d7058161151526d completed June 23, 2026, 7:42 a.m.
NED2 Entity disambiguation (via description) batch_6a3a4125ebd88190b0e2ceb7030c44f5 completed June 23, 2026, 8:17 a.m.
Created at: May 3, 2026, 4:12 p.m.