Triple
T2121172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CLST |
E43924
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | CLST |
E43924
|
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: CLST | Statement: [CLST, hasAbbreviation, CLST]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CLST Context triple: [CLST, hasAbbreviation, CLST]
-
A.
CLST
chosen
CLST is the daylight saving time zone used in Chile during the southern hemisphere summer months.
-
B.
CLCS
CLCS is a United Nations body of experts that evaluates and makes recommendations on coastal states’ claims to the outer limits of their continental shelves under the UN Convention on the Law of the Sea.
-
C.
CLS
CLS is a set of rules in the .NET framework that defines a subset of common language features to ensure interoperability among different .NET languages.
-
D.
CLS
The Mercedes-Benz CLS is a luxury four-door coupé known for pioneering the modern coupé-sedan design with sleek styling and high-end performance.
-
E.
CLAS
CLAS is a major particle detector at the Thomas Jefferson National Accelerator Facility used for studying the structure and interactions of subatomic particles.
- 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_69a88717cfe48190b7ecdd68c824848a |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abbb3404348190bc843022fbd2b4d0 |
completed | March 7, 2026, 5:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5197259c8190bffbbb4abaaddfd0 |
completed | March 9, 2026, 4:50 a.m. |
Created at: March 4, 2026, 7:44 p.m.