Triple

T25695760
Position Surface form Disambiguated ID Type / Status
Subject Church of Agia Kyriaki Chrysopolitissa E644315 entity
Predicate locatedNear P294 FINISHED
Object St Paul’s Pillar
St Paul’s Pillar is a historic site in Paphos, Cyprus, traditionally believed to be the column where the Apostle Paul was flogged during his missionary journeys.
E1690831 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: St Paul’s Pillar | Statement: [Church of Agia Kyriaki Chrysopolitissa, locatedNear, St Paul’s Pillar]
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: St Paul’s Pillar
Triple: [Church of Agia Kyriaki Chrysopolitissa, locatedNear, St Paul’s Pillar]
Generated description
St Paul’s Pillar is a historic site in Paphos, Cyprus, traditionally believed to be the column where the Apostle Paul was flogged during his missionary journeys.

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_69e77e82c9bc8190893090b2f6c64f1d completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f5fbc4327c819090506ac08479faca completed May 2, 2026, 1:27 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10c1688cc481908b867bc1bd0b1b34 completed May 22, 2026, 8:49 p.m.
NEDg Description generation batch_6a10c2d522988190bc01978dc5ef272f completed May 22, 2026, 8:55 p.m.
NED2 Entity disambiguation (via description) batch_6a10c365b12c8190bc9b683ad855c776 completed May 22, 2026, 8:58 p.m.
Created at: April 21, 2026, 8:35 p.m.