Triple

T16221472
Position Surface form Disambiguated ID Type / Status
Subject Toyota Motor Philippines E393734 entity
Predicate abbreviation P43 FINISHED
Object TMP
TMP is the Philippine subsidiary of Toyota Motor Corporation responsible for manufacturing, distributing, and marketing Toyota vehicles in the Philippines.
 E1200740 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: TMP | Statement: [Toyota Motor Philippines, abbreviation, TMP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TMP
Context triple: [Toyota Motor Philippines, abbreviation, TMP]
  • A. TMP
    TMP is the IATA airport code for Tampere–Pirkkala Airport in Tampere, Finland.
  • B. TMP
    TMP is the National Rail station code assigned to Temple Underground station on the London Underground network.
  • C. TM
    TM is the New York Stock Exchange ticker symbol for Toyota Motor Corporation, the Japanese multinational automotive manufacturer.
  • D. TM
    TM is the commonly used abbreviation for Teller-Morrow Automotive Repair, the fictional motorcycle garage and clubhouse featured in the television series "Sons of Anarchy."
  • E. .tm
    .tm is the country code top-level domain (ccTLD) assigned to Turkmenistan, also popularly used worldwide for websites related to trademarks.
  • 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: TMP
Triple: [Toyota Motor Philippines, abbreviation, TMP]
Generated description
TMP is the Philippine subsidiary of Toyota Motor Corporation responsible for manufacturing, distributing, and marketing Toyota vehicles in the Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TMP
Target entity description: TMP is the Philippine subsidiary of Toyota Motor Corporation responsible for manufacturing, distributing, and marketing Toyota vehicles in the Philippines.
  • A. TMP
    TMP is the IATA airport code for Tampere–Pirkkala Airport in Tampere, Finland.
  • B. TMP
    TMP is the National Rail station code assigned to Temple Underground station on the London Underground network.
  • C. TM
    TM is the commonly used abbreviation for Teller-Morrow Automotive Repair, the fictional motorcycle garage and clubhouse featured in the television series "Sons of Anarchy."
  • D. TM
    TM is the New York Stock Exchange ticker symbol for Toyota Motor Corporation, the Japanese multinational automotive manufacturer.
  • E. .tm
    .tm is the country code top-level domain (ccTLD) assigned to Turkmenistan, also popularly used worldwide for websites related to trademarks.
  • 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e227fbd88081909fac3f075d5ea7f4 completed April 17, 2026, 12:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0007987cd881908ebc01141028c0a5 completed May 10, 2026, 4:20 a.m.
NEDg Description generation batch_6a00081162348190ba0bfb55b8d01e6d completed May 10, 2026, 4:22 a.m.
NED2 Entity disambiguation (via description) batch_6a00087e244881908cefdfc6e4b46251 completed May 10, 2026, 4:24 a.m.
Created at: April 10, 2026, 5:03 a.m.