Triple
T1114087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Everest |
E11056
|
entity |
| Predicate | nameLanguage |
P15
|
FINISHED |
| Object |
Chomolungma – Tibetan
Chomolungma is the Tibetan name for Mount Everest, the world’s highest mountain.
|
E128159
|
NE FINISHED |
How this triple was built (4 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: Chomolungma – Tibetan | Statement: [Mount Everest, nameLanguage, Chomolungma – Tibetan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chomolungma – Tibetan Context triple: [Mount Everest, nameLanguage, Chomolungma – Tibetan]
-
A.
Sagarmatha – Nepali
Sagarmatha is the Nepali name for Mount Everest, the world’s highest mountain peak in the Himalayas.
-
B.
Mahakala
Mahakala is a fierce, time-devouring form of the Hindu god Shiva, associated with destruction, protection, and the transcendence of temporal existence.
-
C.
Kangchenjunga
Kangchenjunga is the world’s third-highest mountain, a massive peak in the eastern Himalayas on the border between Nepal and India.
-
D.
Kailash
Kailash is an Indian social reformer and Nobel Peace Prize laureate renowned for his decades-long campaign against child labor and exploitation.
-
E.
Annapurna
Annapurna is a prominent massif in north-central Nepal renowned for its towering peaks, including one of the world’s highest mountains, and its challenging trekking and climbing routes.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Chomolungma – Tibetan Triple: [Mount Everest, nameLanguage, Chomolungma – Tibetan]
Generated description
Chomolungma is the Tibetan name for Mount Everest, the world’s highest mountain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chomolungma – Tibetan Target entity description: Chomolungma is the Tibetan name for Mount Everest, the world’s highest mountain.
-
A.
Sagarmatha – Nepali
chosen
Sagarmatha is the Nepali name for Mount Everest, the world’s highest mountain peak in the Himalayas.
-
B.
Mahakala
Mahakala is a fierce, time-devouring form of the Hindu god Shiva, associated with destruction, protection, and the transcendence of temporal existence.
-
C.
Kangchenjunga
Kangchenjunga is the world’s third-highest mountain, a massive peak in the eastern Himalayas on the border between Nepal and India.
-
D.
Kailash
Kailash is an Indian social reformer and Nobel Peace Prize laureate renowned for his decades-long campaign against child labor and exploitation.
-
E.
Annapurna
Annapurna is a prominent massif in north-central Nepal renowned for its towering peaks, including one of the world’s highest mountains, and its challenging trekking and climbing routes.
- F. None of above.
Provenance (5 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_69a493252a648190ac48f8742474a5e8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bba04324819090d2f8fcccc2a4c2 |
completed | March 1, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac59a4316c8190a4adc10e454c2855 |
completed | March 7, 2026, 5 p.m. |
| NEDg | Description generation | batch_69ac5b4833788190958ce030dc9da977 |
completed | March 7, 2026, 5:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac5bbf0efc8190a90c244a2ab35155 |
completed | March 7, 2026, 5:09 p.m. |
Created at: March 1, 2026, 7:43 p.m.