Triple
T6636712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CCAS |
E150473
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | CCAS |
E150473
|
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: CCAS | Statement: [CCAS, shortName, CCAS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CCAS Context triple: [CCAS, shortName, CCAS]
-
A.
CCAS
chosen
CCAS is an international environmental agreement aimed at protecting and managing seal populations in the Antarctic region.
-
B.
CASS
CASS is the Cargo Accounts Settlement System, a global IATA-managed platform that streamlines and standardizes financial transactions between airlines and freight forwarders.
-
C.
LCCAS
LCCAS is the UN/LOCODE identifier for the port and city of Castries, the capital of Saint Lucia.
-
D.
CCA
CCA is the ICAO airline designator used to identify Air China in international aviation operations.
-
E.
CCA
CCA is the highest state court in Texas for criminal cases, serving as the court of last resort for all criminal matters in the state.
- 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_69c687f0ceb08190bf40807bfc605fa5 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6afcf439c8190b9334b34774da821 |
completed | March 27, 2026, 4:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cbf71874819080cc89b6740b1567 |
completed | March 27, 2026, 6:27 p.m. |
Created at: March 27, 2026, 1:59 p.m.