Triple

T21394514
Position Surface form Disambiguated ID Type / Status
Subject Lamu County E527743 entity
Predicate hasSettlement P1068 FINISHED
Object Faza
Faza is a historic coastal town on Kenya’s Lamu Archipelago, known for its Swahili culture and centuries-old trading heritage.
E1482618 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: Faza | Statement: [Lamu County, hasSettlement, Faza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faza
Context triple: [Lamu County, hasSettlement, Faza]
  • A. Fasa
    Fasa is a city in Iran’s Fars Province known as a regional agricultural and commercial center with historical significance.
  • B. Fazy
    Fazy is a Swiss surname most notably borne by James Fazy, a 19th-century politician from Geneva.
  • C. Phaaze
    Phaaze is a highly unstable, Phazon-rich planet that serves as the corrupted source world and final battleground in Metroid Prime 3: Corruption.
  • D. Faydi
    Faydi is a village located within the Shekhan District in the Kurdistan Region of northern Iraq.
  • E. Fazza
    Fazza is the popular pen name of Sheikh Hamdan bin Mohammed Al Maktoum, the Crown Prince of Dubai and a well-known Emirati poet and public figure.
  • 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: Faza
Triple: [Lamu County, hasSettlement, Faza]
Generated description
Faza is a historic coastal town on Kenya’s Lamu Archipelago, known for its Swahili culture and centuries-old trading heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Faza
Target entity description: Faza is a historic coastal town on Kenya’s Lamu Archipelago, known for its Swahili culture and centuries-old trading heritage.
  • A. Fasa
    Fasa is a city in Iran’s Fars Province known as a regional agricultural and commercial center with historical significance.
  • B. Fazy
    Fazy is a Swiss surname most notably borne by James Fazy, a 19th-century politician from Geneva.
  • C. Phaaze
    Phaaze is a highly unstable, Phazon-rich planet that serves as the corrupted source world and final battleground in Metroid Prime 3: Corruption.
  • D. Faydi
    Faydi is a village located within the Shekhan District in the Kurdistan Region of northern Iraq.
  • E. Fazza
    Fazza is the popular pen name of Sheikh Hamdan bin Mohammed Al Maktoum, the Crown Prince of Dubai and a well-known Emirati poet and public figure.
  • 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_69e0b51ff3748190935c0a513c62a12b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b117d8c881908b823c1212b5b919 completed April 22, 2026, 11:29 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09bb4a9390819093f0ce34f96420ce completed May 17, 2026, 12:57 p.m.
NEDg Description generation batch_6a09bea3994481908b7a782fd384603a completed May 17, 2026, 1:12 p.m.
NED2 Entity disambiguation (via description) batch_6a09bf9d2d508190a45847afa0d47337 completed May 17, 2026, 1:16 p.m.
Created at: April 16, 2026, 5:13 p.m.