Triple
T13591771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shri Ram Janmabhoomi Teerth Kshetra Trust |
E324707
|
entity |
| Predicate | associatedWithDeity |
P1481
|
FINISHED |
| Object |
Lord Rama
Lord Rama is a principal deity in Hinduism, revered as the seventh avatar of Vishnu and the virtuous hero of the epic Ramayana.
|
E1048377
|
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: Lord Rama | Statement: [Shri Ram Janmabhoomi Teerth Kshetra Trust, associatedWithDeity, Lord Rama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lord Rama Context triple: [Shri Ram Janmabhoomi Teerth Kshetra Trust, associatedWithDeity, Lord Rama]
-
A.
Rama
Rama is a river in Bosnia and Herzegovina that flows through mountainous terrain before joining the Neretva River.
-
B.
Rama
Rama is a Palestinian village in the Galilee region of northern Israel, historically notable for its capture during the 1948 Arab–Israeli War.
-
C.
Rama
Rama is a First Nations community in Ontario, Canada, known for the Chippewas of Rama First Nation and the Casino Rama resort.
-
D.
Rama
Rama is a small scenic village in Pakistan’s Gilgit-Baltistan region, known as a gateway to the lush Rama Meadows and views of Nanga Parbat.
-
E.
Rama
Rama is a well-known margarine and spread brand widely used for cooking and baking in various international markets.
- 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: Lord Rama Triple: [Shri Ram Janmabhoomi Teerth Kshetra Trust, associatedWithDeity, Lord Rama]
Generated description
Lord Rama is a principal deity in Hinduism, revered as the seventh avatar of Vishnu and the virtuous hero of the epic Ramayana.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lord Rama Target entity description: Lord Rama is a principal deity in Hinduism, revered as the seventh avatar of Vishnu and the virtuous hero of the epic Ramayana.
-
A.
Rama
Rama is a small scenic village in Pakistan’s Gilgit-Baltistan region, known as a gateway to the lush Rama Meadows and views of Nanga Parbat.
-
B.
Rama
Rama is a river in Bosnia and Herzegovina that flows through mountainous terrain before joining the Neretva River.
-
C.
Rama
Rama is a Palestinian village in the Galilee region of northern Israel, historically notable for its capture during the 1948 Arab–Israeli War.
-
D.
Rama
Rama is a First Nations community in Ontario, Canada, known for the Chippewas of Rama First Nation and the Casino Rama resort.
-
E.
Rama
Rama is a well-known margarine and spread brand widely used for cooking and baking in various international markets.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb056ce088190a6feb4266633d18b |
completed | April 12, 2026, 2:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76bc578908190abd5cca94b1c3a5c |
completed | May 3, 2026, 3:37 p.m. |
| NEDg | Description generation | batch_69f77643b0348190962bf23a9857edbe |
completed | May 3, 2026, 4:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7791add908190af69b23a54eb7560 |
completed | May 3, 2026, 4:34 p.m. |
Created at: April 9, 2026, 9:49 p.m.