Triple
T8276474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stuttgart Airport |
E193558
|
entity |
| Predicate | hasCityCode |
P6089
|
FINISHED |
| Object | STR |
E723083
|
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: STR | Statement: [Stuttgart Airport, hasCityCode, STR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: STR Context triple: [Stuttgart Airport, hasCityCode, STR]
-
A.
STR
chosen
STR is the three-letter IATA airport code for Stuttgart Airport, the international airport serving Stuttgart, Germany.
-
B.
STR
STR is the common abbreviation for the Straubing Tigers, a professional ice hockey team based in Straubing, Germany.
-
C.
ST
ST is the common abbreviation for Stade Toulousain, a leading French rugby union club based in Toulouse.
-
D.
ST
ST is the common abbreviation for Sound Transit, the regional public transit agency serving the Seattle metropolitan area in Washington State.
-
E.
ST
ST is the commonly used abbreviation for SkyTeam, a major global airline alliance.
- 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_69ca82e14ae481908ffdb822cd2192bc |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb798d69508190b581ad8a38730175 |
completed | March 31, 2026, 7:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd951c06b88190962b108b3325d30b |
completed | April 1, 2026, 9:58 p.m. |
Created at: March 30, 2026, 5:51 p.m.