Triple
T19029762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toulouse–Blagnac Airport |
E465703
|
entity |
| Predicate | IATA code |
P2569
|
FINISHED |
| Object | TLS |
—
|
NE NERFINISHED |
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: TLS | Statement: [Toulouse–Blagnac Airport, IATA code, TLS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TLS Context triple: [Toulouse–Blagnac Airport, IATA code, TLS]
-
A.
TLS
TLS (Transport Layer Security) is a cryptographic protocol that secures data transmitted over networks by providing encryption, authentication, and integrity between communicating applications.
-
B.
TLS
chosen
TLS is the IATA airport code for Toulouse-Blagnac Airport, the main international airport serving Toulouse in southwestern France.
-
C.
TLS
TLS is the ISO 3166-1 alpha-3 country code for Timor-Leste (East Timor), a Southeast Asian nation on the eastern half of Timor Island.
-
D.
TLS
TLS is the Australian Securities Exchange (ASX) stock ticker for Telstra, Australia's largest telecommunications and media company.
-
E.
SSL
SSL is a satellite manufacturing company known for building commercial communications and Earth observation spacecraft.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d73f98dc81909acbb366f00d2d54 |
completed | April 20, 2026, 7:35 a.m. |
Created at: April 10, 2026, 12:02 p.m.