Triple

T33694489
Position Surface form Disambiguated ID Type / Status
Subject Sabians E863265 entity
Predicate identifiedByMedievalMuslimAuthorsAs P29994 FINISHED
Object Harranians
Harranians were an ancient pagan community from the city of Harran in Upper Mesopotamia, known for their astral religion, preservation of Hellenistic philosophical traditions, and later identification with the Qur’anic Sabians.
E2063775 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: Harranians | Statement: [Sabians, identifiedByMedievalMuslimAuthorsAs, Harranians]
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: Harranians
Triple: [Sabians, identifiedByMedievalMuslimAuthorsAs, Harranians]
Generated description
Harranians were an ancient pagan community from the city of Harran in Upper Mesopotamia, known for their astral religion, preservation of Hellenistic philosophical traditions, and later identification with the Qur’anic Sabians.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: identifiedByMedievalMuslimAuthorsAs
Context triple: [Sabians, identifiedByMedievalMuslimAuthorsAs, Harranians]
  • A. knownInIslamAs chosen
    Indicates that an entity is referred to by a particular name, title, or designation specifically within the context of Islam or Islamic tradition.
  • B. roleInIslamicHistory
    Indicates the specific function, status, or contribution an entity has within the context of Islamic historical events, periods, or developments.
  • C. describedInHadithAs
    Indicates that something is mentioned, characterized, or narrated within a hadith text.
  • D. isPillarOfIslam
    Indicates that something is one of the fundamental obligatory practices that constitute the core pillars of Islam.
  • E. namedInHistoricalSources
    Indicates that an entity is explicitly mentioned or identified in historical documents or records.
  • 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_69f3498723a08190ac034339cc78eade completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f71fb1ab3881908e2f7c0e6f23db49 completed May 3, 2026, 10:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a363c99b7848190be907b8022433bd8 completed June 20, 2026, 7:09 a.m.
NEDg Description generation batch_6a364b78a0ec8190a24149ee699447b0 completed June 20, 2026, 8:12 a.m.
NED2 Entity disambiguation (via description) batch_6a364c26bdcc8190aef3486f0044cf8d completed June 20, 2026, 8:15 a.m.
PD Predicate disambiguation batch_69f71cc6397881909aaad37a9daa8a7e completed May 3, 2026, 10 a.m.
Created at: May 1, 2026, 1:43 a.m.