Triple

T36690498
Position Surface form Disambiguated ID Type / Status
Subject Or Akiva cemetery E905941 entity
Predicate placeNameInLanguage P24399 FINISHED
Object בית העלמין אור עקיבא
בית העלמין אור עקיבא הוא בית הקברות העירוני המשרת את תושבי אור עקיבא והסביבה בישראל.
 E2194404 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: בית העלמין אור עקיבא | Statement: [Or Akiva cemetery, placeNameInLanguage, בית העלמין אור עקיבא]
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: בית העלמין אור עקיבא
Triple: [Or Akiva cemetery, placeNameInLanguage, בית העלמין אור עקיבא]
Generated description
בית העלמין אור עקיבא הוא בית הקברות העירוני המשרת את תושבי אור עקיבא והסביבה בישראל.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: placeNameInLanguage
Context triple: [Or Akiva cemetery, placeNameInLanguage, בית העלמין אור עקיבא]
  • A. hasLanguageOfToponym chosen
    Indicates that a place name (toponym) is expressed in or associated with a particular language.
  • B. hasPlaceNamesakeIn
    Indicates that something is named after a particular place or location.
  • C. hasPlaceNamesIn
    Indicates that something contains, references, or is associated with one or more place names within it.
  • D. modernCityNameLanguage
    Indicates that the modern name of a city is expressed in a particular language.
  • E. countryNameLocal
    Indicates the name of a country as expressed in its own local or official language.
  • 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_69f76e70d2448190bdd3ce781ba971c5 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fdb31800508190beec15adb9bbd292 completed May 8, 2026, 9:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3a20e71dbc81909e213f1a3dc82803 completed June 23, 2026, 6 a.m.
NEDg Description generation batch_6a3a21fb6a2c8190b554fa1a6d7a28c2 completed June 23, 2026, 6:04 a.m.
NED2 Entity disambiguation (via description) batch_6a3a2301ed048190826eaba7cfba00ed completed June 23, 2026, 6:09 a.m.
PD Predicate disambiguation batch_69fdb19c381c8190bafb2f565da097f1 completed May 8, 2026, 9:49 a.m.
Created at: May 3, 2026, 4:12 p.m.