Triple
T2028431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FTSE All-Share Index |
E44461
|
entity |
| Predicate | dataVendorCodeExample |
P19199
|
FINISHED |
| Object |
FTAS.L
FTAS.L is the London Stock Exchange ticker symbol for a financial instrument that tracks or represents the FTSE All-Share Index.
|
E226812
|
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: FTAS.L | Statement: [FTSE All-Share Index, dataVendorCodeExample, FTAS.L]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FTAS.L Context triple: [FTSE All-Share Index, dataVendorCodeExample, FTAS.L]
-
A.
FT
FT is the Faculty of Theology at the University of Geneva, a higher education institution specializing in theological and religious studies.
-
B.
FTTA
FTTA is a U.S. law that promotes collaboration and technology transfer between federal laboratories and the private sector to commercialize government-funded innovations.
-
C.
FTU
FTU is a leading Vietnamese university renowned for its programs in economics, business, and international trade.
-
D.
FAS
FAS is a common abbreviation for the Faculty of Arts and Science, an academic division that typically encompasses a wide range of humanities, social science, and natural science disciplines at a university.
-
E.
AFT
AFT is a major American labor union representing teachers and other education professionals across the United States.
- 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: FTAS.L Triple: [FTSE All-Share Index, dataVendorCodeExample, FTAS.L]
Generated description
FTAS.L is the London Stock Exchange ticker symbol for a financial instrument that tracks or represents the FTSE All-Share Index.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FTAS.L Target entity description: FTAS.L is the London Stock Exchange ticker symbol for a financial instrument that tracks or represents the FTSE All-Share Index.
-
A.
FT
FT is the Faculty of Theology at the University of Geneva, a higher education institution specializing in theological and religious studies.
-
B.
FTTA
FTTA is a U.S. law that promotes collaboration and technology transfer between federal laboratories and the private sector to commercialize government-funded innovations.
-
C.
FTU
FTU is a leading Vietnamese university renowned for its programs in economics, business, and international trade.
-
D.
FAS
FAS is a common abbreviation for the Faculty of Arts and Science, an academic division that typically encompasses a wide range of humanities, social science, and natural science disciplines at a university.
-
E.
AFT
AFT is a major American labor union representing teachers and other education professionals across the United States.
- 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_69a889144f2481909932f0746a93023d |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abbdbfe6188190a32ab023660312bd |
completed | March 7, 2026, 5:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0afea7848190b53b8813a567879d |
completed | March 8, 2026, 11:49 p.m. |
| NEDg | Description generation | batch_69ae0b8cda248190b88b353c1768c3d7 |
completed | March 8, 2026, 11:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae0c31f00c8190bb29098f95ee4cb9 |
completed | March 8, 2026, 11:54 p.m. |
Created at: March 4, 2026, 7:38 p.m.