Triple
T14617541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bothasig |
E343123
|
entity |
| Predicate | roadAccessVia |
P9041
|
FINISHED |
| Object | N7 |
E962018
|
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: N7 | Statement: [Bothasig, roadAccessVia, N7]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: N7 Context triple: [Bothasig, roadAccessVia, N7]
-
A.
N7
N7 is the IATA airline designator assigned to Nordic Regional Airlines, a Finnish regional carrier.
-
B.
N7
chosen
N7 is a major national route in South Africa that runs roughly north–south, linking Cape Town with the Namibian border and serving as a key regional transport corridor.
-
C.
N-70
N-70 is a major national highway in Pakistan that connects parts of Punjab and Balochistan, serving as an important east–west transport route.
-
D.
N8
N8 is a designated national highway route, commonly used to identify a major intercity road in certain countries’ transportation networks.
-
E.
N9
N9 is the abbreviated designation for N9 Warfare Systems, a defense-related organization focused on the development and integration of advanced warfare technologies and capabilities.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb46439b88190a4affcc7ccedab6b |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda924c7308190931c03fbac57b0bf |
completed | May 8, 2026, 9:13 a.m. |
Created at: April 10, 2026, 1:25 a.m.