Triple
T3641005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Korea Exchange |
E77186
|
entity |
| Predicate | regulatesMarket |
P18656
|
FINISHED |
| Object |
KONEX
KONEX is a South Korean stock market dedicated primarily to facilitating capital raising and trading for small and medium-sized enterprises and startups.
|
E375832
|
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: KONEX | Statement: [Korea Exchange, regulatesMarket, KONEX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KONEX Context triple: [Korea Exchange, regulatesMarket, KONEX]
-
A.
Ornex
Ornex is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
-
B.
Koni
Koni is a diminutive form of the given name Konrad, typically used as an affectionate nickname.
-
C.
X-Gerät
X-Gerät was an advanced World War II German radio navigation and bombing guidance system used by the Luftwaffe for precision night bombing.
-
D.
Nicado
Nicado is a Spanish-language surname most notably borne by Cuban mathematician and academic leader Miriam Nicado García.
-
E.
Arrohateck
Arrohateck was a Native American tribe of the Powhatan Confederacy that inhabited the region along the James River in what is now Virginia during the early colonial period.
- 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: KONEX Triple: [Korea Exchange, regulatesMarket, KONEX]
Generated description
KONEX is a South Korean stock market dedicated primarily to facilitating capital raising and trading for small and medium-sized enterprises and startups.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KONEX Target entity description: KONEX is a South Korean stock market dedicated primarily to facilitating capital raising and trading for small and medium-sized enterprises and startups.
-
A.
Ornex
Ornex is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
-
B.
Koni
Koni is a diminutive form of the given name Konrad, typically used as an affectionate nickname.
-
C.
X-Gerät
X-Gerät was an advanced World War II German radio navigation and bombing guidance system used by the Luftwaffe for precision night bombing.
-
D.
Nicado
Nicado is a Spanish-language surname most notably borne by Cuban mathematician and academic leader Miriam Nicado García.
-
E.
Arrohateck
Arrohateck was a Native American tribe of the Powhatan Confederacy that inhabited the region along the James River in what is now Virginia during the early colonial period.
- 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_69ad85dd0be48190b738990cb20c4731 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc357c3308190bd8801d68244a53e |
completed | March 8, 2026, 6:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b44f2a8a5c8190b84dcf4b4b8a939e |
completed | March 13, 2026, 5:53 p.m. |
| NEDg | Description generation | batch_69b45292546c81909770dcd6239dbda3 |
completed | March 13, 2026, 6:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b45f76fcc48190bab9bc6ce83700eb |
completed | March 13, 2026, 7:03 p.m. |
Created at: March 8, 2026, 3:24 p.m.