Triple
T7794597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tabora |
E180266
|
entity |
| Predicate | transport |
P230
|
FINISHED |
| Object | Tabora Airport |
E177050
|
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: Tabora Airport | Statement: [Tabora, transport, Tabora Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tabora Airport Context triple: [Tabora, transport, Tabora Airport]
-
A.
Tabora Airport
chosen
Tabora Airport is a regional public airport serving the town and surrounding Tabora Region in western Tanzania.
-
B.
Mpanda Airport
Mpanda Airport is a regional airport in western Tanzania that serves the town of Mpanda and the surrounding Katavi Region.
-
C.
Umbu Mehang Kunda Airport
Umbu Mehang Kunda Airport is a regional airport serving the island of Sumba in East Nusa Tenggara, Indonesia, providing domestic connections to major Indonesian cities.
-
D.
Kamuzu International Airport
Kamuzu International Airport is the main international airport serving Lilongwe and one of the primary gateways to Malawi.
-
E.
Kigoma Airport
Kigoma Airport is a public airport in western Tanzania that serves the town of Kigoma on the shores of Lake Tanganyika.
- 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_69ca827d22208190b4dc5aa680edcf5d |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cae93b262c8190b55e5ab2bc72d894 |
completed | March 30, 2026, 9:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb13ea96cc819081ac26db3ecf4481 |
completed | March 31, 2026, 12:23 a.m. |
Created at: March 30, 2026, 4:31 p.m.