Triple

T1991790
Position Surface form Disambiguated ID Type / Status
Subject Philippine Airlines E43266 entity
Predicate ICAOcode P419 FINISHED
Object PAL
PAL is the ICAO airline designator for Philippine Airlines, the flag carrier of the Philippines.
 E222064 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: PAL | Statement: [Philippine Airlines, ICAOcode, PAL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PAL
Context triple: [Philippine Airlines, ICAOcode, PAL]
  • A. Pal
    Pal is an Indian surname notably borne by Bipin Chandra Pal, a prominent nationalist leader in the Indian independence movement.
  • B. PL
    PL is the common abbreviation for Japan’s Pacific League, one of the two professional baseball leagues that make up Nippon Professional Baseball.
  • C. PL
    PL is the commonly used abbreviation for the Patriot League, an NCAA Division I collegiate athletic conference known for emphasizing both academic and athletic excellence.
  • D. PA
    PA is the standard two-letter U.S. Postal Service abbreviation for the state of Pennsylvania.
  • E. PA
    PA is the postcode area in western Scotland that covers Paisley and parts of the surrounding Greater Glasgow 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: PAL
Triple: [Philippine Airlines, ICAOcode, PAL]
Generated description
PAL is the ICAO airline designator for Philippine Airlines, the flag carrier of the Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PAL
Target entity description: PAL is the ICAO airline designator for Philippine Airlines, the flag carrier of the Philippines.
  • A. Pal
    Pal is an Indian surname notably borne by Bipin Chandra Pal, a prominent nationalist leader in the Indian independence movement.
  • B. PL
    PL is the common abbreviation for Japan’s Pacific League, one of the two professional baseball leagues that make up Nippon Professional Baseball.
  • C. PL
    PL is the commonly used abbreviation for the Patriot League, an NCAA Division I collegiate athletic conference known for emphasizing both academic and athletic excellence.
  • D. PA
    PA is the standard two-letter U.S. Postal Service abbreviation for the state of Pennsylvania.
  • E. PA
    PA is the postcode area in western Scotland that covers Paisley and parts of the surrounding Greater Glasgow 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_69a88714cf2c819081644be450b8356e completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb846f1c0819081edd8d5eb59adce completed March 7, 2026, 5:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0338631c8190a8c7e5177ac473a8 completed March 8, 2026, 11:16 p.m.
NEDg Description generation batch_69ae03d3c3048190bf9c476bea8c4c1e completed March 8, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_69ae0480bf9081909ee1ba5d5c805ab3 completed March 8, 2026, 11:21 p.m.
Created at: March 4, 2026, 7:37 p.m.