Triple

T13161836
Position Surface form Disambiguated ID Type / Status
Subject Indo-Parthians E312745 entity
Predicate capital P234 FINISHED
Object Sigal
Sigal was an ancient city that served as the political and administrative center of the Indo-Parthian kingdom in South Asia.
 E1024075 NE FINISHED

How this triple was built (4 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: Sigal | Statement: [Indo-Parthians, capital, Sigal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sigal
Context triple: [Indo-Parthians, capital, Sigal]
  • A. Tirza
    Tirza is a river in Latvia that serves as one of the tributaries feeding into the larger Gauja River system.
  • B. Margalit
    Margalit is the given first name of American actress and filmmaker Maggie Gyllenhaal.
  • C. Suleika
    Suleika is a central poetic figure in Goethe’s "West–östlicher Divan," inspired by the persona of Marianne von Willemer and emblematic of the collection’s East–West lyrical dialogue on love and spirituality.
  • D. Ayelet
    Ayelet is a feminine given name of Hebrew origin, commonly used in Israel.
  • E. Sarya Tlass
    Sarya Tlass is a Syrian businesswoman and daughter of longtime Syrian defense minister Mustafa Tlass, known for her connections to the country’s political elite.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Sigal
Triple: [Indo-Parthians, capital, Sigal]
Generated description
Sigal was an ancient city that served as the political and administrative center of the Indo-Parthian kingdom in South Asia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sigal
Target entity description: Sigal was an ancient city that served as the political and administrative center of the Indo-Parthian kingdom in South Asia.
  • A. Tirza
    Tirza is a river in Latvia that serves as one of the tributaries feeding into the larger Gauja River system.
  • B. Margalit
    Margalit is the given first name of American actress and filmmaker Maggie Gyllenhaal.
  • C. Suleika
    Suleika is a central poetic figure in Goethe’s "West–östlicher Divan," inspired by the persona of Marianne von Willemer and emblematic of the collection’s East–West lyrical dialogue on love and spirituality.
  • D. Ayelet
    Ayelet is a feminine given name of Hebrew origin, commonly used in Israel.
  • E. Sarya Tlass
    Sarya Tlass is a Syrian businesswoman and daughter of longtime Syrian defense minister Mustafa Tlass, known for her connections to the country’s political elite.
  • F. None of above. chosen

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_69d806ac3ee081909b2fd27d060aa974 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c0a9d348190909fcf45f9d650e4 completed April 10, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eaf4cd788190b74cca51b5219bfb completed May 3, 2026, 6:28 a.m.
NEDg Description generation batch_69f6eeefa9a08190b042212f24735ca7 completed May 3, 2026, 6:45 a.m.
NED2 Entity disambiguation (via description) batch_69f6ef933f888190880e680f7f4c1c29 completed May 3, 2026, 6:47 a.m.
Created at: April 9, 2026, 9:12 p.m.