Triple

T26309050
Position Surface form Disambiguated ID Type / Status
Subject Masjid al-Dirar E661767 entity
Predicate alsoKnownAs P39 FINISHED
Object the mosque of harm
The mosque of harm is a Quranically mentioned structure in early Islamic history that was reportedly built by hypocrites in Medina to sow discord and opposition to the Muslim community.
 E1718512 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: the mosque of harm | Statement: [Masjid al-Dirar, alsoKnownAs, the mosque of harm]
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: the mosque of harm
Triple: [Masjid al-Dirar, alsoKnownAs, the mosque of harm]
Generated description
The mosque of harm is a Quranically mentioned structure in early Islamic history that was reportedly built by hypocrites in Medina to sow discord and opposition to the Muslim community.

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_69ee812dacfc81908484aade9120fba9 completed April 26, 2026, 9:18 p.m.
NER Named-entity recognition batch_69f60ee64ce08190b9fbede178cc6f28 completed May 2, 2026, 2:49 p.m.
NED1 Entity disambiguation (via context triple) batch_6a118fd22594819087629795aaf073f3 completed May 23, 2026, 11:30 a.m.
NEDg Description generation batch_6a11908c426881908d669fa1626498c0 completed May 23, 2026, 11:33 a.m.
NED2 Entity disambiguation (via description) batch_6a11911ca01881909d20999c2e64e096 completed May 23, 2026, 11:35 a.m.
Created at: April 26, 2026, 10:21 p.m.