Triple
T5059967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chitose Air Base |
E113998
|
entity |
| Predicate | IATACode |
P418
|
FINISHED |
| Object | CTS |
E372724
|
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: CTS | Statement: [Chitose Air Base, IATACode, CTS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CTS Context triple: [Chitose Air Base, IATACode, CTS]
-
A.
CTS
CTS is the acronym for the Council for Trade in Services, a World Trade Organization body responsible for overseeing the implementation and functioning of global rules on trade in services.
-
B.
CTS
CTS is the public transport operator responsible for running Strasbourg’s tram and bus network in France.
-
C.
CTS
chosen
CTS is the IATA airport code for New Chitose Airport, the main international gateway serving Sapporo and the Hokkaido region of Japan.
-
D.
CTC
CTC is the California Tahoe Conservancy, a state agency focused on environmental protection, public access, and resource management in the Lake Tahoe Basin.
-
E.
CTC
CTC is the national trade union federation of Cuba that represents and coordinates the activities of Cuban workers across various sectors.
- 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_69bd443c0c8c81908663b77afb28e165 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7453daac8190b2946702c6c4bd93 |
completed | March 20, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea49283f48190b5db5ad78f332f95 |
completed | March 21, 2026, 2 p.m. |
Created at: March 20, 2026, 1:38 p.m.