Triple
T15922851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ladies European Tour |
E386134
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | LET |
E1143133
|
NE FINISHED |
How this triple was built (2 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: LET | Statement: [Ladies European Tour, abbreviation, LET]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LET Context triple: [Ladies European Tour, abbreviation, LET]
-
A.
LET
chosen
LET is the National Rail station code assigned to Letchworth Garden City railway station in Hertfordshire, England.
-
B.
Le
Le is a common Vietnamese surname shared by many notable figures in the country’s history and culture.
-
C.
LeT
LeT is a Pakistan-based Islamist militant organization widely known for carrying out the 2008 Mumbai terrorist attacks and being designated as a terrorist group by numerous countries.
-
D.
LE
LE is the abbreviation for Les Engagés, a centrist political party in Belgium that emerged from the reform of the former Humanist Democratic Centre (cdH).
-
E.
LT
LT is the abbreviated name for the Logic Theorist, an early computer program that pioneered automated theorem proving in mathematical logic.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156832a248190bed479bf835a469c |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb5aba70c8190a74c45bce6f9b782 |
completed | May 9, 2026, 10:31 p.m. |
Created at: April 10, 2026, 4:52 a.m.