Triple
T5294890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of the Republic of China |
E119827
|
entity |
| Predicate | ISOcountryCode |
P208
|
FINISHED |
| Object | TWN |
E119824
|
NE FINISHED |
How this triple was built (2 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: TWN | Statement: [Flag of the Republic of China, ISOcountryCode, TWN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TWN Context triple: [Flag of the Republic of China, ISOcountryCode, TWN]
-
A.
TWN
chosen
TWN is the three-letter ISO 3166-1 alpha-3 country code for Taiwan.
-
B.
TWNIC
TWNIC is Taiwan’s official network information center responsible for managing domain names, IP address allocation, and related internet infrastructure services in Taiwan.
-
C.
TWB
TWB is the IATA airport code for Toowoomba City Aerodrome, a regional airport serving the city of Toowoomba in Queensland, Australia.
-
D.
Tai
Tai is an ethnic subgroup of the Ogoni people in Nigeria, known for its distinct cultural identity within the broader Ogoni community.
-
E.
Tai
Tai is a major language family of Southeast Asia that includes languages such as Thai and Lao, spoken by tens of millions of people across the region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd446f22b88190b6a47fb91c68a3e7 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd84f19d048190a826f51acc603544 |
completed | March 20, 2026, 5:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf06f74a608190bdd52c75777dba5d |
completed | March 21, 2026, 9 p.m. |
Created at: March 20, 2026, 1:52 p.m.