Triple
T5607213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SIX:NESN |
E147262
|
entity |
| Predicate | componentOfIndex |
P5722
|
FINISHED |
| Object |
SMI 20
SMI 20 is a major Swiss stock market index comprising the 20 largest and most liquid companies listed on the SIX Swiss Exchange.
|
E536942
|
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: SMI 20 | Statement: [SIX:NESN, componentOfIndex, SMI 20]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SMI 20 Context triple: [SIX:NESN, componentOfIndex, SMI 20]
-
A.
SMI
SMI is the vehicle registration code assigned to the town of Mikołów in Poland.
-
B.
SMF
SMF (System Management Facilities) is an IBM z/OS component that collects and records system and workload performance data for monitoring, accounting, and capacity planning.
-
C.
SMF
SMF is the three-letter IATA airport code for Sacramento International Airport, the primary commercial airport serving California’s capital city.
-
D.
SOM II
SOM II is the second session in a series of high-level Senior Officials' Meetings where government representatives coordinate and prepare policy and agenda items for ministerial or leaders’ summits.
-
E.
S200
S200 is a pair of large solid rocket boosters used on India's GSLV Mk III heavy-lift launch vehicle to provide its initial thrust at liftoff.
- 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: SMI 20 Triple: [SIX:NESN, componentOfIndex, SMI 20]
Generated description
SMI 20 is a major Swiss stock market index comprising the 20 largest and most liquid companies listed on the SIX Swiss Exchange.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SMI 20 Target entity description: SMI 20 is a major Swiss stock market index comprising the 20 largest and most liquid companies listed on the SIX Swiss Exchange.
-
A.
SMI
SMI is the vehicle registration code assigned to the town of Mikołów in Poland.
-
B.
SMF
SMF (System Management Facilities) is an IBM z/OS component that collects and records system and workload performance data for monitoring, accounting, and capacity planning.
-
C.
SMF
SMF is the three-letter IATA airport code for Sacramento International Airport, the primary commercial airport serving California’s capital city.
-
D.
SOM II
SOM II is the second session in a series of high-level Senior Officials' Meetings where government representatives coordinate and prepare policy and agenda items for ministerial or leaders’ summits.
-
E.
S200
S200 is a pair of large solid rocket boosters used on India's GSLV Mk III heavy-lift launch vehicle to provide its initial thrust at liftoff.
- 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_69c0090500f881908374285baf0ac46f |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020fbb8748190841e5e09db3feef1 |
completed | March 22, 2026, 5:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d4465388190b28f47f11e133b6a |
completed | March 22, 2026, 8:12 p.m. |
| NEDg | Description generation | batch_69c04e88680c8190845723f52c060fb7 |
completed | March 22, 2026, 8:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c04f7b889c81909db7cb4baf40ed80 |
completed | March 22, 2026, 8:22 p.m. |
Created at: March 22, 2026, 3:39 p.m.