Triple
T1151566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FTSE 100 |
E23687
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object |
UKX
UKX is the stock market index code used to represent the FTSE 100, a benchmark index of the largest companies listed on the London Stock Exchange.
|
E132010
|
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: UKX | Statement: [FTSE 100, tickerSymbol, UKX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UKX Context triple: [FTSE 100, tickerSymbol, UKX]
-
A.
KIX
KIX is the three-letter IATA airport code for Kansai International Airport serving the Osaka region of Japan.
-
B.
Korea Exchange
Korea Exchange is South Korea’s main securities and derivatives marketplace, serving as the country’s primary stock exchange for major companies such as Samsung.
-
C.
PKX
PKX is the IATA airport code for Beijing Daxing International Airport, a major international aviation hub serving Beijing, China.
-
D.
Usk
Usk is a small historic town in Monmouthshire, southeast Wales, known for its medieval castle and picturesque setting on the River Usk.
-
E.
Kindai
Kindai is a major private university in Japan known for its comprehensive academic programs and strong research in fields such as science, engineering, and fisheries.
- 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: UKX Triple: [FTSE 100, tickerSymbol, UKX]
Generated description
UKX is the stock market index code used to represent the FTSE 100, a benchmark index of the largest companies listed on the London Stock Exchange.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: UKX Target entity description: UKX is the stock market index code used to represent the FTSE 100, a benchmark index of the largest companies listed on the London Stock Exchange.
-
A.
KIX
KIX is the three-letter IATA airport code for Kansai International Airport serving the Osaka region of Japan.
-
B.
Korea Exchange
Korea Exchange is South Korea’s main securities and derivatives marketplace, serving as the country’s primary stock exchange for major companies such as Samsung.
-
C.
PKX
PKX is the IATA airport code for Beijing Daxing International Airport, a major international aviation hub serving Beijing, China.
-
D.
Usk
Usk is a small historic town in Monmouthshire, southeast Wales, known for its medieval castle and picturesque setting on the River Usk.
-
E.
Kindai
Kindai is a major private university in Japan known for its comprehensive academic programs and strong research in fields such as science, engineering, and fisheries.
- 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_69a493f0d32c8190ac74bad3c87f2641 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc744e7c81908f8612f2aad28600 |
completed | March 1, 2026, 10:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac5eb5d36c8190916a43a5f41df144 |
completed | March 7, 2026, 5:21 p.m. |
| NEDg | Description generation | batch_69ac5f4756b08190b3dbaf64a9351836 |
completed | March 7, 2026, 5:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac600f78148190bd3109276f7b9e3a |
completed | March 7, 2026, 5:27 p.m. |
Created at: March 1, 2026, 7:44 p.m.