Triple

T3726684
Position Surface form Disambiguated ID Type / Status
Subject Amboseli National Park E81766 entity
Predicate nearestTown P350 FINISHED
Object Emali
Emali is a small Kenyan town in Kajiado County that serves as a key stop along the Nairobi–Mombasa highway and a gateway to nearby wildlife destinations.
 E381716 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: Emali | Statement: [Amboseli National Park, nearestTown, Emali]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Emali
Context triple: [Amboseli National Park, nearestTown, Emali]
  • A. Emine
    Emine is a Turkish feminine given name commonly borne by women, including prominent public figures in Turkey.
  • B. Ema
    Ema is a given name used as a variant spelling of Emma in various languages and cultures.
  • C. Esra
    Esra is a feminine given name commonly used in Turkey and other countries with Islamic cultural influence.
  • D. Gazi
    Gazi is an honorific title in Turkey, historically bestowed for distinguished military valor and sacrifice in war.
  • E. Seyhun
    Seyhun is the historical name used in Islamic and Central Asian sources for the Syr Darya River, one of the major rivers of Central Asia.
  • 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: Emali
Triple: [Amboseli National Park, nearestTown, Emali]
Generated description
Emali is a small Kenyan town in Kajiado County that serves as a key stop along the Nairobi–Mombasa highway and a gateway to nearby wildlife destinations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Emali
Target entity description: Emali is a small Kenyan town in Kajiado County that serves as a key stop along the Nairobi–Mombasa highway and a gateway to nearby wildlife destinations.
  • A. Emine
    Emine is a Turkish feminine given name commonly borne by women, including prominent public figures in Turkey.
  • B. Ema
    Ema is a given name used as a variant spelling of Emma in various languages and cultures.
  • C. Esra
    Esra is a feminine given name commonly used in Turkey and other countries with Islamic cultural influence.
  • D. Gazi
    Gazi is an honorific title in Turkey, historically bestowed for distinguished military valor and sacrifice in war.
  • E. Seyhun
    Seyhun is the historical name used in Islamic and Central Asian sources for the Syr Darya River, one of the major rivers of Central Asia.
  • 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_69ad8b1b7ef081908d2d381bbf54985a completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcaf7a6908190bd0c3bb5c55ab9ee completed March 8, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4ce206cb88190985a727b769e1e12 completed March 14, 2026, 2:55 a.m.
NEDg Description generation batch_69b4cf1840bc81908a85642430ab5339 completed March 14, 2026, 2:59 a.m.
NED2 Entity disambiguation (via description) batch_69b4cf92e9c48190a3d87ba1f90548ec completed March 14, 2026, 3:01 a.m.
Created at: March 8, 2026, 3:34 p.m.