Triple
T1219759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ayodhya |
E26191
|
entity |
| Predicate | hasReligiousSite |
P916
|
FINISHED |
| Object |
Guptar Ghat
Guptar Ghat is a sacred riverfront site in Ayodhya associated with Hindu religious traditions and pilgrimage along the banks of the Sarayu River.
|
E139950
|
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: Guptar Ghat | Statement: [Ayodhya, hasReligiousSite, Guptar Ghat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guptar Ghat Context triple: [Ayodhya, hasReligiousSite, Guptar Ghat]
-
A.
Kisan Ghat
Kisan Ghat is a memorial in Delhi dedicated to Indian farmers, located near the Raj Ghat complex.
-
B.
Assi Ghat
Assi Ghat is a prominent riverfront step area in Varanasi, India, known as a major spiritual, cultural, and tourist hub on the banks of the Ganges.
-
C.
Ghat
Ghat is a remote oasis town in southwestern Libya, historically significant as a Saharan caravan hub and gateway to the surrounding desert landscapes.
-
D.
Baghat
Baghat was a small princely state in colonial India that was incorporated into British-controlled territory during the 19th century.
-
E.
Dila Gori
Dila Gori is a professional football club based in Gori, Georgia, competing in the country’s top-tier league.
- 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: Guptar Ghat Triple: [Ayodhya, hasReligiousSite, Guptar Ghat]
Generated description
Guptar Ghat is a sacred riverfront site in Ayodhya associated with Hindu religious traditions and pilgrimage along the banks of the Sarayu River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Guptar Ghat Target entity description: Guptar Ghat is a sacred riverfront site in Ayodhya associated with Hindu religious traditions and pilgrimage along the banks of the Sarayu River.
-
A.
Kisan Ghat
Kisan Ghat is a memorial in Delhi dedicated to Indian farmers, located near the Raj Ghat complex.
-
B.
Assi Ghat
Assi Ghat is a prominent riverfront step area in Varanasi, India, known as a major spiritual, cultural, and tourist hub on the banks of the Ganges.
-
C.
Ghat
Ghat is a remote oasis town in southwestern Libya, historically significant as a Saharan caravan hub and gateway to the surrounding desert landscapes.
-
D.
Baghat
Baghat was a small princely state in colonial India that was incorporated into British-controlled territory during the 19th century.
-
E.
Dila Gori
Dila Gori is a professional football club based in Gori, Georgia, competing in the country’s top-tier league.
- 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.