Triple
T1305401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Speke Airport |
E27863
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object | LPL |
E27861
|
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: LPL | Statement: [Speke Airport, IATAcode, LPL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LPL Context triple: [Speke Airport, IATAcode, LPL]
-
A.
LPL
chosen
LPL is the three-letter IATA airport code for Liverpool John Lennon Airport, serving the city of Liverpool in England.
-
B.
WBG
WBG is the commonly used abbreviation for the World Bank Group, an international financial institution that provides loans and grants to support development and reduce poverty worldwide.
-
C.
LSGG
LSGG is the ICAO airport code for Geneva Airport, the international airport serving Geneva, Switzerland.
-
D.
S9
S9 is a line of the Berlin S-Bahn rapid transit network that connects Berlin Brandenburg Airport with central and western parts of the city.
-
E.
Counter Logic Gaming
Counter Logic Gaming is a professional esports organization best known for its teams in games like League of Legends and its early prominence in North American competitive gaming.
- 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_69a496d7d83481908f83085854e51328 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c13524d481909e8f5bb2ab91f6e4 |
completed | March 1, 2026, 10:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acbae9c8a88190bf9de136a41c82a4 |
completed | March 7, 2026, 11:55 p.m. |
Created at: March 1, 2026, 7:51 p.m.