Triple

T35707510
Position Surface form Disambiguated ID Type / Status
Subject Syriac Pe E1031757 entity
Predicate correspondsToArabicLetter P125165 FINISHED
Object Arabic Faʼ
Arabic Faʼ is the Arabic alphabet letter representing the /f/ sound, used widely across Arabic and many other languages that employ the Arabic script.
 E2151301 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: Arabic Faʼ | Statement: [Syriac Pe, correspondsToArabicLetter, Arabic Faʼ]
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: Arabic Faʼ
Triple: [Syriac Pe, correspondsToArabicLetter, Arabic Faʼ]
Generated description
Arabic Faʼ is the Arabic alphabet letter representing the /f/ sound, used widely across Arabic and many other languages that employ the Arabic script.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: correspondsToArabicLetter
Context triple: [Syriac Pe, correspondsToArabicLetter, Arabic Faʼ]
  • A. correspondsToInArabic chosen
    Indicates that one entity is the equivalent or matching counterpart of another entity specifically in the Arabic language.
  • B. correspondsToLatinLetter
    Indicates that one entity is the counterpart or representation of another entity as a specific letter in the Latin alphabet.
  • C. correspondsToEnglishLetter
    Indicates that one entity is the English alphabet letter that matches, represents, or is equivalent to the other entity.
  • D. correspondsToPhoenicianLetter
    Indicates a relationship where one written symbol or character is associated with, or derived from, a specific letter of the Phoenician alphabet.
  • E. correspondsToChineseCharacter
    Indicates that one entity is the equivalent or representation of a specific Chinese written character.
  • 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_69f76e0d393c8190b6303c64408736db completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7b2f3a104819098ddd8909eaf596c completed May 3, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38729dc0988190b94f61bf98787ca6 completed June 21, 2026, 11:24 p.m.
NEDg Description generation batch_6a38730bbf348190b9ad5a1ef6a659a8 completed June 21, 2026, 11:26 p.m.
NED2 Entity disambiguation (via description) batch_6a3873fd9ccc8190ac41f5aaf772bde6 completed June 21, 2026, 11:30 p.m.
PD Predicate disambiguation batch_69f7b1b8a9fc8190a1279e67a2d12707 completed May 3, 2026, 8:36 p.m.
Created at: May 3, 2026, 4:05 p.m.