Triple
T4649570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nasdaq Copenhagen |
E102258
|
entity |
| Predicate | hasIndex |
P2915
|
FINISHED |
| Object |
OMX Copenhagen 20
OMX Copenhagen 20 is a stock market index that tracks the performance of the 20 most traded and liquid companies listed on the Nasdaq Copenhagen exchange.
|
E455781
|
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: OMX Copenhagen 20 | Statement: [Nasdaq Copenhagen, hasIndex, OMX Copenhagen 20]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OMX Copenhagen 20 Context triple: [Nasdaq Copenhagen, hasIndex, OMX Copenhagen 20]
-
A.
OMX Stockholm
OMX Stockholm is the main stock market index and trading venue for Swedish equities, operated by Nasdaq.
-
B.
OMX Helsinki 25
OMX Helsinki 25 is a stock market index that tracks the performance of the 25 most traded and liquid companies listed on the Nasdaq Helsinki exchange.
-
C.
OMA
OMA is a renowned international architecture firm known for its innovative, often experimental designs and influential contributions to contemporary architecture.
-
D.
OMA
OMA is the ICAO airline designator assigned to Oman Air, the national carrier of Oman.
-
E.
OMA
OMA is the IATA airport code for Eppley Airfield, the primary commercial airport serving Omaha, Nebraska.
- 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: OMX Copenhagen 20 Triple: [Nasdaq Copenhagen, hasIndex, OMX Copenhagen 20]
Generated description
OMX Copenhagen 20 is a stock market index that tracks the performance of the 20 most traded and liquid companies listed on the Nasdaq Copenhagen exchange.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: OMX Copenhagen 20 Target entity description: OMX Copenhagen 20 is a stock market index that tracks the performance of the 20 most traded and liquid companies listed on the Nasdaq Copenhagen exchange.
-
A.
OMX Stockholm
OMX Stockholm is the main stock market index and trading venue for Swedish equities, operated by Nasdaq.
-
B.
OMX Helsinki 25
OMX Helsinki 25 is a stock market index that tracks the performance of the 25 most traded and liquid companies listed on the Nasdaq Helsinki exchange.
-
C.
OMA
OMA is a renowned international architecture firm known for its innovative, often experimental designs and influential contributions to contemporary architecture.
-
D.
OMA
OMA is the IATA airport code for Eppley Airfield, the primary commercial airport serving Omaha, Nebraska.
-
E.
OMA
OMA is the ICAO airline designator assigned to Oman Air, the national carrier of Oman.
- 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_69bd43d71a308190afea7280841b0de8 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd6300a3fc8190b39ee96d756a748e |
completed | March 20, 2026, 3:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfae3d8f4819082ec002bc4d9819d |
completed | March 21, 2026, 1:56 a.m. |
| NEDg | Description generation | batch_69bdfba6f8e08190ad6c802ec1cb5ce2 |
completed | March 21, 2026, 2 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdfc6da3a481909ed770763409e063 |
completed | March 21, 2026, 2:03 a.m. |
Created at: March 20, 2026, 1:14 p.m.