Triple

T23923558
Position Surface form Disambiguated ID Type / Status
Subject אברהם אבן עזרא E602282 entity
Predicate נדד בין P122262 FINISHED
Object ספרד
ספרד היא מדינה בדרום-מערב אירופה בחצי האי האיברי, בעלת היסטוריה עשירה, תרבות מגוונת והשפעה משמעותית על העולם דובר הספרדית.
 E1608058 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: ספרד | Statement: [אברהם אבן עזרא, נדד בין, ספרד]
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: ספרד
Triple: [אברהם אבן עזרא, נדד בין, ספרד]
Generated description
ספרד היא מדינה בדרום-מערב אירופה בחצי האי האיברי, בעלת היסטוריה עשירה, תרבות מגוונת והשפעה משמעותית על העולם דובר הספרדית.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: נדד בין
Context triple: [אברהם אבן עזרא, נדד בין, ספרד]
  • A. נבדל מ
    Indicates that one entity is distinct, different, or set apart from another entity.
  • B. tends
    Indicates that one entity regularly or characteristically behaves in a certain way or moves toward a particular state or outcome in relation to another.
  • C. across
    Indicates a spatial relationship where one entity is on the opposite side of, or extending from one side to the other side of, another entity or area.
  • D. בת
    Indicates a parent–child relationship where one entity is the daughter of another entity.
  • E. transportedBetween chosen
    Indicates that an entity is moved or conveyed from one specified location or state to another.
  • 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_69e2953b928c819095395fa87baca583 completed April 17, 2026, 8:16 p.m.
NER Named-entity recognition batch_69f1cf1abd148190a8393418ed965019 completed April 29, 2026, 9:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f763f94788190b20ef85d028d02e2 completed May 21, 2026, 9:16 p.m.
NEDg Description generation batch_6a0f7763b168819096e38c871623606d completed May 21, 2026, 9:21 p.m.
NED2 Entity disambiguation (via description) batch_6a0f78495eb481908d64e7caa0e065b4 completed May 21, 2026, 9:25 p.m.
PD Predicate disambiguation batch_69f16151ebdc819086e9e1d7cc1f4f3c completed April 29, 2026, 1:39 a.m.
Created at: April 17, 2026, 8:41 p.m.