Triple

T13913298
Position Surface form Disambiguated ID Type / Status
Subject Psalm 95 E334551 entity
Predicate references P771 FINISHED
Object Massah
Massah is a biblical location in the wilderness where the Israelites tested God by complaining about the lack of water.
E1069021 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: Massah | Statement: [Psalm 95, references, Massah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Massah
Context triple: [Psalm 95, references, Massah]
  • A. Urim
    Urim is an ancient Israelite sacred object, traditionally paired with the Thummim, used by priests for divination and seeking God’s guidance.
  • B. Shushan
    Shushan is the ancient Persian royal city traditionally identified as the capital where the events of the biblical Book of Esther take place.
  • C. Mesḥa
    Mesḥa is the former name of the modern Israeli town of Kfar Tavor, located in the Lower Galilee region.
  • D. Riphath
    Riphath is a minor biblical figure listed in the Book of Genesis as a descendant of Gomer and traditionally associated with early peoples of Asia Minor or Europe.
  • E. Pekuah
    Pekuah is a loyal and intelligent attendant to Princess Nekayah in Samuel Johnson’s philosophical novel "Rasselas, Prince of Abyssinia," whose abduction and experiences highlight themes of virtue, suffering, and resilience.
  • 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: Massah
Triple: [Psalm 95, references, Massah]
Generated description
Massah is a biblical location in the wilderness where the Israelites tested God by complaining about the lack of water.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Massah
Target entity description: Massah is a biblical location in the wilderness where the Israelites tested God by complaining about the lack of water.
  • A. Urim
    Urim is an ancient Israelite sacred object, traditionally paired with the Thummim, used by priests for divination and seeking God’s guidance.
  • B. Shushan
    Shushan is the ancient Persian royal city traditionally identified as the capital where the events of the biblical Book of Esther take place.
  • C. Mesḥa
    Mesḥa is the former name of the modern Israeli town of Kfar Tavor, located in the Lower Galilee region.
  • D. Riphath
    Riphath is a minor biblical figure listed in the Book of Genesis as a descendant of Gomer and traditionally associated with early peoples of Asia Minor or Europe.
  • E. Pekuah
    Pekuah is a loyal and intelligent attendant to Princess Nekayah in Samuel Johnson’s philosophical novel "Rasselas, Prince of Abyssinia," whose abduction and experiences highlight themes of virtue, suffering, and resilience.
  • 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_69d81c5eaa9c819083b1ff8689179565 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de27245c648190b2946845ce0fdbf8 completed April 14, 2026, 11:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c72a345481908f8552bca7bb1a5a completed May 3, 2026, 10:07 p.m.
NEDg Description generation batch_69f7c8d477f881908f8cfd2783e7f10f completed May 3, 2026, 10:14 p.m.
NED2 Entity disambiguation (via description) batch_69f7ca27ffd4819080bccd6bfd88ddb3 completed May 3, 2026, 10:20 p.m.
Created at: April 9, 2026, 10:16 p.m.