Triple

T34278196
Position Surface form Disambiguated ID Type / Status
Subject Bab Kisan E879520 entity
Predicate hasStructureOnSite P22388 FINISHED
Object Chapel of Saint Paul
The Chapel of Saint Paul is a Christian shrine in Damascus traditionally believed to mark the spot where the Apostle Paul escaped the city through a window in the wall.
 E2090198 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: Chapel of Saint Paul | Statement: [Bab Kisan, hasStructureOnSite, Chapel of Saint Paul]
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: Chapel of Saint Paul
Triple: [Bab Kisan, hasStructureOnSite, Chapel of Saint Paul]
Generated description
The Chapel of Saint Paul is a Christian shrine in Damascus traditionally believed to mark the spot where the Apostle Paul escaped the city through a window in the wall.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasStructureOnSite
Context triple: [Bab Kisan, hasStructureOnSite, Chapel of Saint Paul]
  • A. hasEarlierStructureOnSite
    Indicates that a given site previously contained an earlier structure before the current one.
  • B. haveStructure
    Indicates that an entity possesses a particular internal organization, arrangement, or structural composition.
  • C. hasHumanStructure
    Indicates that one entity possesses or exhibits a structural form or organization characteristic of humans.
  • D. hasStructureOnOrAdjacent chosen
    Indicates that one entity has a physical structure located on it or immediately next to it.
  • E. hasStationStructure
    Indicates that an entity possesses or is associated with a particular station-related physical structure.
  • 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_69f349b5f6648190b9420d94a4cd16e0 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69ff891e4b9c8190aa86a339a8944496 completed May 9, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a36e629ba608190b3289611cf455612 completed June 20, 2026, 7:12 p.m.
NEDg Description generation batch_6a36e7c3a5d08190a90848fbc53f577a completed June 20, 2026, 7:19 p.m.
NED2 Entity disambiguation (via description) batch_6a36e8214050819088ce2baa27717cdf completed June 20, 2026, 7:21 p.m.
PD Predicate disambiguation batch_69ff8801180c8190b23e20996ca68e0a completed May 9, 2026, 7:16 p.m.
Created at: May 1, 2026, 1:57 a.m.