Triple
T7312266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taiwan Stock Exchange |
E168120
|
entity |
| Predicate | mainIndex |
P12489
|
FINISHED |
| Object |
TAIEX
TAIEX is the benchmark stock market index that tracks the performance of all listed common shares on the Taiwan Stock Exchange.
|
E656177
|
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: TAIEX | Statement: [Taiwan Stock Exchange, mainIndex, TAIEX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TAIEX Context triple: [Taiwan Stock Exchange, mainIndex, TAIEX]
-
A.
TAI
TAI is the high-precision time standard used worldwide as the basis for civil timekeeping and scientific measurements.
-
B.
TAI
TAI is the ICAO airline designator assigned to TACA Airlines, a major Central American carrier.
-
C.
Taiwan Stock Exchange
The Taiwan Stock Exchange is the main securities market in Taiwan, where stocks, bonds, and other financial instruments are traded and major Taiwanese companies are listed.
-
D.
TSX
TSX is a TypeScript-based extension of JSX that allows developers to write strongly typed, XML-like syntax for defining user interfaces in frameworks like React.
-
E.
Tadawul
Tadawul is the Saudi Stock Exchange, the Kingdom of Saudi Arabia’s sole securities market and one of the largest stock exchanges in the Middle East.
- 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: TAIEX Triple: [Taiwan Stock Exchange, mainIndex, TAIEX]
Generated description
TAIEX is the benchmark stock market index that tracks the performance of all listed common shares on the Taiwan Stock Exchange.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TAIEX Target entity description: TAIEX is the benchmark stock market index that tracks the performance of all listed common shares on the Taiwan Stock Exchange.
-
A.
TAI
TAI is the high-precision time standard used worldwide as the basis for civil timekeeping and scientific measurements.
-
B.
TAI
TAI is the ICAO airline designator assigned to TACA Airlines, a major Central American carrier.
-
C.
Taiwan Stock Exchange
The Taiwan Stock Exchange is the main securities market in Taiwan, where stocks, bonds, and other financial instruments are traded and major Taiwanese companies are listed.
-
D.
TSX
TSX is a TypeScript-based extension of JSX that allows developers to write strongly typed, XML-like syntax for defining user interfaces in frameworks like React.
-
E.
Tadawul
Tadawul is the Saudi Stock Exchange, the Kingdom of Saudi Arabia’s sole securities market and one of the largest stock exchanges in the Middle East.
- 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_69c6888d8e3c81909db79714903baf31 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6ec00fef081909cb9768a70cabd80 |
completed | March 27, 2026, 8:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7e56b4178819087341903a168440b |
completed | March 28, 2026, 2:27 p.m. |
| NEDg | Description generation | batch_69c7e69b51d88190a25fbcec7993654f |
completed | March 28, 2026, 2:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7e76f3cd88190957e096c81e6e803 |
completed | March 28, 2026, 2:36 p.m. |
Created at: March 27, 2026, 3:02 p.m.