Triple
T154166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tobacco Free Initiative |
E3141
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
TFI
TFI is the World Health Organization’s Tobacco Free Initiative, a program dedicated to reducing global tobacco use and its health impacts.
|
E18914
|
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: TFI | Statement: [Tobacco Free Initiative, shortName, TFI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TFI Context triple: [Tobacco Free Initiative, shortName, TFI]
-
A.
FÜ
FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
-
B.
the T
The T is the public transit system serving the Greater Boston area, operated by the Massachusetts Bay Transportation Authority.
-
C.
FRS
FRS is the post-nominal title used by Fellows of the Royal Society, denoting distinguished scientists elected to the United Kingdom’s national academy of sciences.
-
D.
TR
TR is the two-letter ISO 3166-1 alpha-2 country code assigned to Turkey for international standardization and referencing.
-
E.
SF
SF is the standard two-letter postal abbreviation used to represent the city of San Francisco, California.
- 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: TFI Triple: [Tobacco Free Initiative, shortName, TFI]
Generated description
TFI is the World Health Organization’s Tobacco Free Initiative, a program dedicated to reducing global tobacco use and its health impacts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TFI Target entity description: TFI is the World Health Organization’s Tobacco Free Initiative, a program dedicated to reducing global tobacco use and its health impacts.
-
A.
FÜ
FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
-
B.
the T
The T is the public transit system serving the Greater Boston area, operated by the Massachusetts Bay Transportation Authority.
-
C.
FRS
FRS is the post-nominal title used by Fellows of the Royal Society, denoting distinguished scientists elected to the United Kingdom’s national academy of sciences.
-
D.
TR
TR is the two-letter ISO 3166-1 alpha-2 country code assigned to Turkey for international standardization and referencing.
-
E.
SF
SF is the standard two-letter postal abbreviation used to represent the city of San Francisco, California.
- 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_69a2527757ec819090b8becb2cf1a862 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a2582d25448190931c2d785e678a8a |
completed | Feb. 28, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2ce3867688190bd6c32a2da7d67b3 |
completed | Feb. 28, 2026, 11:15 a.m. |
| NEDg | Description generation | batch_69a2ceb2bd48819084fa2f198af74712 |
completed | Feb. 28, 2026, 11:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2cf98fc4881909e3e7cf0b90ae5ce |
completed | Feb. 28, 2026, 11:20 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.