Triple
T3696425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shira |
E78469
|
entity |
| Predicate | givesNameTo |
P63
|
FINISHED |
| Object | Shira Plateau |
E375003
|
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: Shira Plateau | Statement: [Shira, givesNameTo, Shira Plateau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shira Plateau Context triple: [Shira, givesNameTo, Shira Plateau]
-
A.
Shira Plateau
chosen
Shira Plateau is a high-altitude volcanic plateau on Mount Kilimanjaro known for its expansive views and unique alpine scenery.
-
B.
Sanetti Plateau
Sanetti Plateau is a high-altitude Afro-alpine plateau in Ethiopia’s Bale Mountains, known for its unique biodiversity and dramatic volcanic landscapes.
-
C.
Kaas Plateau
Kaas Plateau is a UNESCO World Natural Heritage Site in Maharashtra, India, renowned for its seasonal carpet of wildflowers and unique biodiversity.
-
D.
Yatta Plateau
Yatta Plateau is an extensive ancient lava flow in Kenya, renowned as one of the world’s longest lava plateaus and a prominent geological feature within Tsavo National Park.
-
E.
Dana Plateau
Dana Plateau is a high, windswept alpine tableland in Yosemite National Park known for its expansive views, rugged terrain, and striking glacially carved landscape.
- 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_69ad85e3b1888190abc983e06968696d |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc50f9ad88190a926042fa73d65dc |
completed | March 8, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4cdf1b16081909b18af630d0b4817 |
completed | March 14, 2026, 2:54 a.m. |
Created at: March 8, 2026, 3:26 p.m.