Triple

T4122570
Position Surface form Disambiguated ID Type / Status
Subject Lapu-Lapu City E92647 entity
Predicate formerName P65 FINISHED
Object Opon
Opon is the former name of what is now Lapu-Lapu City, a highly urbanized city located on Mactan Island in the Philippines.
 E416118 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: Opon | Statement: [Lapu-Lapu City, formerName, Opon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Opon
Context triple: [Lapu-Lapu City, formerName, Opon]
  • A. Oppeano
    Oppeano is a municipality in northern Italy’s Veneto region, historically associated with the ancient Veneti people.
  • B. Honancho
    Honancho is a neighborhood in Tokyo, Japan, known as a residential area with convenient access to central city districts via the Tokyo Metro Marunouchi Line.
  • C. Pangim
    Pangim, also known as Panaji, is the riverside city that serves as the administrative and cultural center of the Indian state of Goa.
  • D. Owan
    Owan is an ethnic group in southern Nigeria, primarily inhabiting parts of Edo State and known for its distinct language and cultural traditions.
  • E. Owaneco
    Owaneco was a prominent Mohegan sachem (chief) known for his leadership and land dealings in colonial New England during the late 17th and early 18th centuries.
  • 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: Opon
Triple: [Lapu-Lapu City, formerName, Opon]
Generated description
Opon is the former name of what is now Lapu-Lapu City, a highly urbanized city located on Mactan Island in the Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Opon
Target entity description: Opon is the former name of what is now Lapu-Lapu City, a highly urbanized city located on Mactan Island in the Philippines.
  • A. Oppeano
    Oppeano is a municipality in northern Italy’s Veneto region, historically associated with the ancient Veneti people.
  • B. Honancho
    Honancho is a neighborhood in Tokyo, Japan, known as a residential area with convenient access to central city districts via the Tokyo Metro Marunouchi Line.
  • C. Pangim
    Pangim, also known as Panaji, is the riverside city that serves as the administrative and cultural center of the Indian state of Goa.
  • D. Owan
    Owan is an ethnic group in southern Nigeria, primarily inhabiting parts of Edo State and known for its distinct language and cultural traditions.
  • E. Owaneco
    Owaneco was a prominent Mohegan sachem (chief) known for his leadership and land dealings in colonial New England during the late 17th and early 18th centuries.
  • 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_69aed9685f70819086932777aec8d959 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69af020728a08190a50a16b40690cbce completed March 9, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576b13cc881908fea25c686141546 completed March 14, 2026, 2:54 p.m.
NEDg Description generation batch_69b577ac31888190b6182b00bd5c709f completed March 14, 2026, 2:58 p.m.
NED2 Entity disambiguation (via description) batch_69b57839ee548190804ef306fc9b3a6e completed March 14, 2026, 3:01 p.m.
Created at: March 9, 2026, 3:41 p.m.