Triple

T9241525
Position Surface form Disambiguated ID Type / Status
Subject Manila–Los Angeles E222069 entity
Predicate originAirportIATA P45614 FINISHED
Object MNL E261759 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: MNL | Statement: [Manila–Los Angeles, originAirportIATA, MNL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MNL
Context triple: [Manila–Los Angeles, originAirportIATA, MNL]
  • A. MNL chosen
    MNL is the IATA airport code for Ninoy Aquino International Airport, the main international gateway serving Metro Manila in the Philippines.
  • B. Dondon
    Dondon is a historic commune in northern Haiti known for its colonial-era architecture, coffee production, and nearby cave systems with pre-Columbian rock art.
  • C. World Trade Center Metro Manila
    World Trade Center Metro Manila is a major exhibition and convention center in Pasay City that hosts trade shows, conferences, and large-scale events.
  • D. Metro Cebu
    Metro Cebu is the main metropolitan area of Cebu in the Philippines, encompassing Cebu City and its surrounding cities and municipalities as a major economic, cultural, and transportation hub in the Visayas region.
  • E. Malabon
    Malabon is a coastal city in the northern part of Metro Manila in the Philippines, known for its historic districts, flood-prone waterways, and distinctive local cuisine.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: originAirportIATA
Context triple: [Manila–Los Angeles, originAirportIATA, MNL]
  • A. typicalOriginAirportIATA chosen
    Indicates the usual or primary origin airport for an entity, identified by its IATA airport code.
  • B. parentAirport
    Indicates that one airport serves as the primary or overarching facility from which another, subsidiary or associated airport is derived or managed.
  • C. placeOfDeparture
    Indicates the location from which an entity, such as a person or vehicle, begins its journey or movement.
  • D. previousAirportName
    Indicates the name that an airport was known by before its current name.
  • E. previousPrimaryAirportFor
    Indicates that one airport was formerly the main or primary airport serving a particular location or entity before being replaced by another.
  • F. None of above.

Provenance (4 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_69ca83ee26cc81909ac624e190597d6d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cd03ea9d90819096f9ca5321dffd56 completed April 1, 2026, 11:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69d077e1ea448190a64a0371a412d314 completed April 4, 2026, 2:30 a.m.
PD Predicate disambiguation batch_69cc7a4765648190aa9445c4a22dc471 completed April 1, 2026, 1:52 a.m.
Created at: March 30, 2026, 7:30 p.m.