Triple
T932578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crimean Mountains |
E20125
|
entity |
| Predicate | hasPeak |
P8205
|
FINISHED |
| Object | Ai-Petri |
E73811
|
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: Ai-Petri | Statement: [Crimean Mountains, hasPeak, Ai-Petri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ai-Petri Context triple: [Crimean Mountains, hasPeak, Ai-Petri]
-
A.
Ai-Petri
chosen
Ai-Petri is a prominent and picturesque mountain peak in Crimea, famed for its jagged cliffs, panoramic views over the Black Sea, and popularity as a tourist and hiking destination.
-
B.
Proteus
Proteus is an experimental high-altitude, long-endurance aircraft designed by Scaled Composites for telecommunications, reconnaissance, and research missions.
-
C.
Proteus
Proteus is the nickname of Charles Proteus Steinmetz, a pioneering German-American electrical engineer and mathematician renowned for his foundational work in alternating current (AC) power systems.
-
D.
Piipaash
Piipaash are a Native American people of the lower Colorado River region, closely related to the Maricopa and known for their distinct language and cultural traditions.
-
E.
Element AI
Element AI was a Montreal-based artificial intelligence company and research lab known for developing enterprise AI solutions and advancing deep learning 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_69a493af3dc48190adb7263e6e445ea1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b34c457c819085cbfa0c798cb4c6 |
completed | March 1, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7ee12da388190a26f0f7944d6f5f8 |
completed | March 4, 2026, 8:32 a.m. |
Created at: March 1, 2026, 7:40 p.m.