Triple

T1744447
Position Surface form Disambiguated ID Type / Status
Subject Nablus E38305 entity
Predicate hasOldName P65 FINISHED
Object Shechem E80189 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: Shechem | Statement: [Nablus, hasOldName, Shechem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shechem
Context triple: [Nablus, hasOldName, Shechem]
  • A. Shechem chosen
    Shechem was an important ancient city in the central highlands of Canaan, serving as a significant political and religious center in biblical times.
  • B. Riblah
    Riblah was an ancient town in Syria that served as a strategic military and administrative headquarters, notably used by the Babylonian king Nebuchadnezzar during the final conquest of Judah.
  • C. Gibeah
    Gibeah was an ancient Israelite city in the territory of Benjamin, historically notable as the royal seat of King Saul.
  • D. Beersheba
    Beersheba is a major city in southern Israel, often regarded as the "Capital of the Negev" and known for its historical significance and rapid modern development.
  • E. Yokneam Illit
    Yokneam Illit is a city in northern Israel known for its high-tech industrial parks and rapid development from a small town into a regional technology hub.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOldName
Context triple: [Nablus, hasOldName, Shechem]
  • A. hasModernName
    Indicates that an entity is associated with its current or contemporary name, as opposed to an older or historical one.
  • B. hasSubsequentNameChange
    Indicates that an entity undergoes a later change to its name, resulting in a new official designation after the original.
  • C. previousNameUsedUntil
    Indicates that a particular name was used for an entity up to (but not necessarily including) a specified end date or time.
  • D. formerName chosen
    Indicates that an entity was previously known by a different name in the past.
  • E. currentNameUsedFrom
    Indicates that an entity’s currently used name has been in effect starting from a specified point in time or source.
  • F. None of above.

Provenance (4 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_69a8862b01a48190ab47209063af82d9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69ab630e7d008190a8c673665d9672bb completed March 6, 2026, 11:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad8b0ab7008190a2fafe1c8ac55ac4 completed March 8, 2026, 2:43 p.m.
PD Predicate disambiguation batch_69aa61c5a18481909bc49e0c54d64314 completed March 6, 2026, 5:10 a.m.
Created at: March 4, 2026, 7:31 p.m.