Triple
T245729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thailand |
E5032
|
entity |
| Predicate | ISO3166-1Alpha3Code |
P189
|
FINISHED |
| Object |
THA
THA is the three-letter ISO 3166-1 alpha-3 country code representing Thailand.
|
E31688
|
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: THA | Statement: [Thailand, ISO3166-1Alpha3Code, THA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: THA Context triple: [Thailand, ISO3166-1Alpha3Code, THA]
-
A.
TCA
TCA is the commonly used abbreviation for the Technical Cooperation Administration, a former U.S. government agency responsible for administering foreign aid and technical assistance programs.
-
B.
TTA
TTA (Telecommunications Technology Association) is South Korea’s primary standards organization for information and communication technologies, contributing to global telecom standards development.
-
C.
Al Chet
Al Chet is a traditional Jewish confessional prayer recited on Yom Kippur that enumerates communal sins and seeks divine forgiveness.
-
D.
Thompson
Thompson is a common English-language surname borne by numerous notable individuals across fields such as acting, sports, politics, and science.
-
E.
the T
The T is the public transit system serving the Greater Boston area, operated by the Massachusetts Bay Transportation Authority.
- 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: THA Triple: [Thailand, ISO3166-1Alpha3Code, THA]
Generated description
THA is the three-letter ISO 3166-1 alpha-3 country code representing Thailand.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: THA Target entity description: THA is the three-letter ISO 3166-1 alpha-3 country code representing Thailand.
-
A.
TCA
TCA is the commonly used abbreviation for the Technical Cooperation Administration, a former U.S. government agency responsible for administering foreign aid and technical assistance programs.
-
B.
TTA
TTA (Telecommunications Technology Association) is South Korea’s primary standards organization for information and communication technologies, contributing to global telecom standards development.
-
C.
Al Chet
Al Chet is a traditional Jewish confessional prayer recited on Yom Kippur that enumerates communal sins and seeks divine forgiveness.
-
D.
Thompson
Thompson is a common English-language surname borne by numerous notable individuals across fields such as acting, sports, politics, and science.
-
E.
the T
The T is the public transit system serving the Greater Boston area, operated by the Massachusetts Bay Transportation Authority.
- 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_69a257c4bf688190a46ebbf411ab7473 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25d128c0081909908825b302ae635 |
completed | Feb. 28, 2026, 3:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a36cf4d8608190bf3d33ee6b93aae0 |
completed | Feb. 28, 2026, 10:32 p.m. |
| NEDg | Description generation | batch_69a36d7b01fc8190a5c596b748bbaa53 |
completed | Feb. 28, 2026, 10:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a36df1839081909c743e1357dd400a |
completed | Feb. 28, 2026, 10:36 p.m. |
Created at: Feb. 28, 2026, 2:54 a.m.