Triple

T11095295
Position Surface form Disambiguated ID Type / Status
Subject Thai Smile E262361 entity
Predicate ICAOcode P419 FINISHED
Object THD
THD is the ICAO airline designator assigned to Thai Smile, a regional subsidiary of Thai Airways.
E904468 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: THD | Statement: [Thai Smile, ICAOcode, THD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: THD
Context triple: [Thai Smile, ICAOcode, THD]
  • A. THS
    THS is the stock ticker symbol for TreeHouse Foods, a U.S.-based manufacturer of private-label packaged foods and beverages.
  • B. TH
    TH is the two-letter ISO 3166-1 alpha-2 country code assigned to Thailand for international standardization and identification.
  • C. THF
    THF is the former Berlin Tempelhof Airport, a historically significant airfield known for its role in the Berlin Airlift and its later conversion into a vast urban park.
  • D. THVM
    THVM is the station code for Thivim railway station, a key rail stop in North Goa, India, serving as an access point to popular nearby beaches and towns.
  • E. SHD
    SHD is the French Defence Historical Service, the national institution responsible for preserving and providing access to France’s military archives and historical records.
  • 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: THD
Triple: [Thai Smile, ICAOcode, THD]
Generated description
THD is the ICAO airline designator assigned to Thai Smile, a regional subsidiary of Thai Airways.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: THD
Target entity description: THD is the ICAO airline designator assigned to Thai Smile, a regional subsidiary of Thai Airways.
  • A. THS
    THS is the stock ticker symbol for TreeHouse Foods, a U.S.-based manufacturer of private-label packaged foods and beverages.
  • B. TH
    TH is the two-letter ISO 3166-1 alpha-2 country code assigned to Thailand for international standardization and identification.
  • C. THF
    THF is the former Berlin Tempelhof Airport, a historically significant airfield known for its role in the Berlin Airlift and its later conversion into a vast urban park.
  • D. THVM
    THVM is the station code for Thivim railway station, a key rail stop in North Goa, India, serving as an access point to popular nearby beaches and towns.
  • E. SHD
    SHD is the French Defence Historical Service, the national institution responsible for preserving and providing access to France’s military archives and historical records.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a0897188190b6c293b44990b3d4 completed April 9, 2026, 12:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e7e0c7e4819098e690ffebbd8e61 completed April 18, 2026, 8:21 p.m.
NEDg Description generation batch_69e3f2cbb4708190a328cff473104d14 completed April 18, 2026, 9:08 p.m.
NED2 Entity disambiguation (via description) batch_69e3f497a01881909d1dae70a02e5f97 completed April 18, 2026, 9:16 p.m.
Created at: April 8, 2026, 9:27 p.m.