Triple
T919253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spirits of St. Louis |
E19843
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | STL |
E34299
|
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: STL | Statement: [Spirits of St. Louis, abbreviation, STL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: STL Context triple: [Spirits of St. Louis, abbreviation, STL]
-
A.
STL
chosen
STL is a common abbreviation and nickname for the city of St. Louis, Missouri.
-
B.
STLAM
STLAM is the stock ticker symbol for Stellantis, a multinational automotive manufacturer formed from the merger of Fiat Chrysler Automobiles and PSA Group.
-
C.
C++
C++ is a high-performance, general-purpose programming language widely used for system/software development, game engines, and performance-critical applications.
-
D.
C++ standard library
The C++ standard library is a collection of ready-made classes and functions that provide core utilities such as containers, algorithms, input/output, and threading support for C++ programs.
-
E.
STP
STP is the three-letter ISO 3166-1 alpha-3 country code for São Tomé and Príncipe, an island nation in the Gulf of Guinea off Central Africa.
- 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_69a493a099788190a696d9d8408cbaf4 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3103bf48190af3f8d8b2d0fe918 |
completed | March 1, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7cf62b05c8190b348ccf1e527d38a |
completed | March 4, 2026, 6:21 a.m. |
Created at: March 1, 2026, 7:40 p.m.