Triple
T9804075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chad |
E237909
|
entity |
| Predicate | highestPoint |
P210
|
FINISHED |
| Object | Emi Koussi |
E62632
|
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: Emi Koussi | Statement: [Chad, highestPoint, Emi Koussi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emi Koussi Context triple: [Chad, highestPoint, Emi Koussi]
-
A.
Emi Koussi
chosen
Emi Koussi is a massive extinct volcano in northern Chad that forms the highest peak in the Sahara Desert.
-
B.
Mount Aino
Mount Aino is one of the highest and most prominent peaks in Japan’s Akaishi Mountains, renowned for its rugged alpine terrain and scenic views.
-
C.
Kebnekaise massif
Kebnekaise massif is Sweden’s highest mountain massif, located in the Scandinavian Mountains of northern Lapland and known for its glaciated peaks and alpine terrain.
-
D.
Kruununhaka
Kruununhaka is a historic central district of Helsinki known for its governmental buildings, neoclassical architecture, and proximity to the city’s main waterfront and landmarks.
-
E.
Lovozero Massif
Lovozero Massif is a large, geologically unique alkaline igneous complex in Russia renowned for its rare mineral deposits and distinctive ring-shaped structure.
- 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_69ca84dd4608819097ff4ed00feca280 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdab7a0ce881908f0555d194dece3f |
completed | April 1, 2026, 11:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1c4538760819099ba1e392d31a135 |
completed | April 5, 2026, 2:09 a.m. |
Created at: March 30, 2026, 8:29 p.m.