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.