Triple
T9075960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waterloo East station |
E217483
|
entity |
| Predicate | stationCode |
P1289
|
FINISHED |
| Object | WAE |
E760898
|
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: WAE | Statement: [Waterloo East station, stationCode, WAE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WAE Context triple: [Waterloo East station, stationCode, WAE]
-
A.
WAE
chosen
WAE is the National Rail station code for Waterloo East railway station in London, England.
-
B.
WAAA
WAAA is the ICAO airport code for Sultan Hasanuddin International Airport, the main air gateway to Makassar in South Sulawesi, Indonesia.
-
C.
AWAE
AWAE (Advanced Web Attacks and Exploitation) is an advanced web application penetration testing and exploitation course focused on teaching in-depth offensive security techniques to experienced security professionals.
-
D.
WA2
WA2 is a postal district within the WA postcode area in northwest England, covering part of Warrington and its surrounding neighborhoods.
-
E.
WAW
WAW is the three-letter IATA airport code for Warsaw Chopin Airport, the primary international airport serving Warsaw, Poland.
- 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_69ca83d6c14c8190bc056d927f00a2a2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc95c53274819099b3b3047bfe8cc8 |
completed | April 1, 2026, 3:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d017aea1e481909f329ff451ed941c |
completed | April 3, 2026, 7:40 p.m. |
Created at: March 30, 2026, 7:12 p.m.