Triple
T1305413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Speke Airport |
E27863
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Speke |
E27863
|
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: Speke | Statement: [Speke Airport, namedAfter, Speke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Speke Context triple: [Speke Airport, namedAfter, Speke]
-
A.
Apswa
Apswa is the endonym used by the Abkhaz people to refer to themselves and their language.
-
B.
Speke Airport
chosen
Speke Airport was the original name of the international airport serving Liverpool, England, now known as Liverpool John Lennon Airport.
-
C.
Sabie
Sabie is a small forestry and tourism town in northeastern South Africa, known as a gateway to waterfalls and scenic routes near the Drakensberg escarpment.
-
D.
Kasulu
Kasulu is a town in western Tanzania that serves as one of the main urban and commercial centers of the Kigoma Region.
-
E.
Gombe
Gombe is a region in western Tanzania best known for its national park where pioneering primatologist Jane Goodall conducted her landmark chimpanzee research.
- 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_69acce5fa07c8190a410461d51ef1f3a |
completed | March 8, 2026, 1:18 a.m. |
Created at: March 1, 2026, 7:51 p.m.