Triple
T1219761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ayodhya |
E26191
|
entity |
| Predicate | hasReligiousSite |
P916
|
FINISHED |
| Object |
Mani Parbat
Mani Parbat is a revered hill in Ayodhya associated with Hindu religious significance and pilgrimage.
|
E139951
|
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: Mani Parbat | Statement: [Ayodhya, hasReligiousSite, Mani Parbat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mani Parbat Context triple: [Ayodhya, hasReligiousSite, Mani Parbat]
-
A.
Nanga Parbat
Nanga Parbat is one of the world’s highest and most notoriously challenging mountains, located in the western Himalayas of Pakistan.
-
B.
Tirich Mir
Tirich Mir is a towering mountain peak in Pakistan’s Chitral region, renowned as the highest summit in the Hindu Kush range.
-
C.
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.
-
D.
Dhaulagiri
Dhaulagiri is one of the world’s highest and most prominent peaks, a massive Himalayan mountain in north-central Nepal renowned for its steep slopes and challenging climbing routes.
-
E.
K2
K2 is the world’s second-highest mountain, a notoriously difficult and dangerous peak in the Karakoram range of the Himalayas.
- 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: Mani Parbat Triple: [Ayodhya, hasReligiousSite, Mani Parbat]
Generated description
Mani Parbat is a revered hill in Ayodhya associated with Hindu religious significance and pilgrimage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mani Parbat Target entity description: Mani Parbat is a revered hill in Ayodhya associated with Hindu religious significance and pilgrimage.
-
A.
Nanga Parbat
Nanga Parbat is one of the world’s highest and most notoriously challenging mountains, located in the western Himalayas of Pakistan.
-
B.
Tirich Mir
Tirich Mir is a towering mountain peak in Pakistan’s Chitral region, renowned as the highest summit in the Hindu Kush range.
-
C.
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.
-
D.
Dhaulagiri
Dhaulagiri is one of the world’s highest and most prominent peaks, a massive Himalayan mountain in north-central Nepal renowned for its steep slopes and challenging climbing routes.
-
E.
K2
K2 is the world’s second-highest mountain, a notoriously difficult and dangerous peak in the Karakoram range of the Himalayas.
- F. None of above. chosen
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_69a4948331fc8190b531ac9bec71c491 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be1d55a08190a138b2411a7c4376 |
completed | March 1, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac8322425c81909cc206b122416c43 |
completed | March 7, 2026, 7:57 p.m. |
| NEDg | Description generation | batch_69ac83de917c8190adf5effc6ecebeb4 |
completed | March 7, 2026, 8 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac84c392a08190854da8405c0252b2 |
completed | March 7, 2026, 8:04 p.m. |
Created at: March 1, 2026, 7:46 p.m.