Triple

T13820506
Position Surface form Disambiguated ID Type / Status
Subject Livias E332121 entity
Predicate alsoKnownAs P39 FINISHED
Object Beth-aram
Beth-aram is an ancient town east of the Jordan River, identified with the biblical city of Livias in the region of Transjordan.
E1063242 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: Beth-aram | Statement: [Livias, alsoKnownAs, Beth-aram]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beth-aram
Context triple: [Livias, alsoKnownAs, Beth-aram]
  • A. Batnae of Sarug
    Batnae of Sarug is an ancient town in the historical region of Osroene in Upper Mesopotamia, known as a former bishopric and early Christian center.
  • B. Beth-togarmah
    Beth-togarmah is a biblical region or people traditionally linked to Anatolia/Armenia and mentioned among the nations associated with Gog in prophetic texts.
  • C. Shemariah
    Shemariah is a biblical figure mentioned in genealogical records as a descendant within the line associated with Mahalath.
  • D. Shealtiel
    Shealtiel is a biblical figure known primarily as a descendant of King Jehoiachin and an ancestor of Zerubbabel in the Davidic royal line.
  • E. Aramm
    Aramm is a 2017 Tamil social drama film starring Nayanthara as a dedicated district collector tackling a village water crisis and systemic negligence.
  • 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: Beth-aram
Triple: [Livias, alsoKnownAs, Beth-aram]
Generated description
Beth-aram is an ancient town east of the Jordan River, identified with the biblical city of Livias in the region of Transjordan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Beth-aram
Target entity description: Beth-aram is an ancient town east of the Jordan River, identified with the biblical city of Livias in the region of Transjordan.
  • A. Batnae of Sarug
    Batnae of Sarug is an ancient town in the historical region of Osroene in Upper Mesopotamia, known as a former bishopric and early Christian center.
  • B. Beth-togarmah
    Beth-togarmah is a biblical region or people traditionally linked to Anatolia/Armenia and mentioned among the nations associated with Gog in prophetic texts.
  • C. Shemariah
    Shemariah is a biblical figure mentioned in genealogical records as a descendant within the line associated with Mahalath.
  • D. Shealtiel
    Shealtiel is a biblical figure known primarily as a descendant of King Jehoiachin and an ancestor of Zerubbabel in the Davidic royal line.
  • E. Aramm
    Aramm is a 2017 Tamil social drama film starring Nayanthara as a dedicated district collector tackling a village water crisis and systemic negligence.
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0282d4d08190b754cda7683408c4 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8e41f448190baabfd06d78b45b7 completed May 3, 2026, 9:06 p.m.
NEDg Description generation batch_69f7b9f9651081909bdbd509dd60c20e completed May 3, 2026, 9:11 p.m.
NED2 Entity disambiguation (via description) batch_69f7ba936c4481908757699ff22d3904 completed May 3, 2026, 9:13 p.m.
Created at: April 9, 2026, 10:12 p.m.