Triple

T23217612
Position Surface form Disambiguated ID Type / Status
Subject Umm al-Fahm E580792 entity
Predicate hasNearbyLocalities P68061 FINISHED
Object Meiser
Meiser is a small Arab village in northern Israel located near the city of Umm al-Fahm.
 E1573219 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: Meiser | Statement: [Umm al-Fahm, hasNearbyLocalities, Meiser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Meiser
Context triple: [Umm al-Fahm, hasNearbyLocalities, Meiser]
  • A. Meiser
    Meiser is a local railway station in Brussels, Belgium, serving regional commuter traffic within the city’s public transport network.
  • B. Meisel
    Meisel is a German-language surname borne by various notable individuals in fields such as music, academia, and public life.
  • C. Meir
    Meir is a Hebrew surname most famously borne by Golda Meir, the former Prime Minister of Israel.
  • D. Yehudi
    Yehudi is a masculine given name most famously associated with the renowned violinist Yehudi Menuhin.
  • E. Metzeresche
    Metzeresche is a small commune in northeastern France, located in the Moselle department within the Grand Est region.
  • 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: Meiser
Triple: [Umm al-Fahm, hasNearbyLocalities, Meiser]
Generated description
Meiser is a small Arab village in northern Israel located near the city of Umm al-Fahm.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Meiser
Target entity description: Meiser is a small Arab village in northern Israel located near the city of Umm al-Fahm.
  • A. Meiser
    Meiser is a local railway station in Brussels, Belgium, serving regional commuter traffic within the city’s public transport network.
  • B. Meisel
    Meisel is a German-language surname borne by various notable individuals in fields such as music, academia, and public life.
  • C. Meir
    Meir is a Hebrew surname most famously borne by Golda Meir, the former Prime Minister of Israel.
  • D. Yehudi
    Yehudi is a masculine given name most famously associated with the renowned violinist Yehudi Menuhin.
  • E. Metzeresche
    Metzeresche is a small commune in northeastern France, located in the Moselle department within the Grand Est region.
  • 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_69e2460389408190be74f41d217799a9 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1916653f08190a7dcbc659c6b6a25 completed April 29, 2026, 5:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c30ca89508190847874ab3bc1e01f completed May 19, 2026, 9:43 a.m.
NEDg Description generation batch_6a0c31f385a881908283a8b079c4128a completed May 19, 2026, 9:48 a.m.
NED2 Entity disambiguation (via description) batch_6a0c32ece3148190a22881d69c42e948 completed May 19, 2026, 9:52 a.m.
Created at: April 17, 2026, 4:08 p.m.