Triple
T1889721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geneva Airport |
E41842
|
entity |
| Predicate | ICAO code |
P419
|
FINISHED |
| Object | LSGG |
E41843
|
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: LSGG | Statement: [Geneva Airport, ICAO code, LSGG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LSGG Context triple: [Geneva Airport, ICAO code, LSGG]
-
A.
LSGG
chosen
LSGG is the ICAO airport code for Geneva Airport, the international airport serving Geneva, Switzerland.
-
B.
Gen.G Tigers of Shanghai
Gen.G Tigers of Shanghai is an esports team that competes in the NBA 2K League and represents the global expansion of the league into Asia.
-
C.
LSG
LSG is the standard French abbreviation for the Louis Segond Bible, a widely used Protestant translation of the Scriptures into French.
-
D.
Grizz Gaming
Grizz Gaming is the official NBA 2K League esports team affiliated with the Memphis Grizzlies.
-
E.
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.
- 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_69a8864b6de0819098d089f6a1b910a7 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb142e41881908fc7335673a9dec3 |
completed | March 7, 2026, 5:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69addf665bd48190b08ff5159333b99b |
completed | March 8, 2026, 8:43 p.m. |
Created at: March 4, 2026, 7:34 p.m.