Triple
T20499263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kheer Bhawani Temple |
E503257
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Tula Mula
Tula Mula is a village in Jammu and Kashmir, India, best known as the site of the revered Kheer Bhawani Temple, an important Hindu pilgrimage destination.
|
E1434184
|
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: Tula Mula | Statement: [Kheer Bhawani Temple, locatedIn, Tula Mula]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tula Mula Context triple: [Kheer Bhawani Temple, locatedIn, Tula Mula]
-
A.
Dula
Dula is a surname most notably associated with Tom Dula, the historical figure linked to the American folk ballad "Tom Dooley."
-
B.
Tulodong
Tulodong was a 10th-century king of the Medang Mataram Kingdom in Central Java, Indonesia.
-
C.
Talugtug
Talugtug is a landlocked agricultural municipality in the province of Nueva Ecija in the Philippines.
-
D.
Timugan
Timugan is a barangay (village-level administrative division) in the municipality of Los Baños in the province of Laguna, Philippines.
-
E.
Guanito
Guanito is a rural municipal district within the San Juan de la Maguana municipality in the San Juan Province of the Dominican Republic.
- 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: Tula Mula Triple: [Kheer Bhawani Temple, locatedIn, Tula Mula]
Generated description
Tula Mula is a village in Jammu and Kashmir, India, best known as the site of the revered Kheer Bhawani Temple, an important Hindu pilgrimage destination.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tula Mula Target entity description: Tula Mula is a village in Jammu and Kashmir, India, best known as the site of the revered Kheer Bhawani Temple, an important Hindu pilgrimage destination.
-
A.
Dula
Dula is a surname most notably associated with Tom Dula, the historical figure linked to the American folk ballad "Tom Dooley."
-
B.
Tulodong
Tulodong was a 10th-century king of the Medang Mataram Kingdom in Central Java, Indonesia.
-
C.
Talugtug
Talugtug is a landlocked agricultural municipality in the province of Nueva Ecija in the Philippines.
-
D.
Timugan
Timugan is a barangay (village-level administrative division) in the municipality of Los Baños in the province of Laguna, Philippines.
-
E.
Guanito
Guanito is a rural municipal district within the San Juan de la Maguana municipality in the San Juan Province of the Dominican Republic.
- 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_69e0b4b1e52c8190894281cf7e3283ab |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69cbff210819089900e9a35911f48 |
completed | April 20, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0893bd1c508190bbba38fb36650723 |
completed | May 16, 2026, 3:56 p.m. |
| NEDg | Description generation | batch_6a0894634f748190ae0a3be77125bf03 |
completed | May 16, 2026, 3:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08958072d08190a0e4ba12c7e550ea |
completed | May 16, 2026, 4:04 p.m. |
Created at: April 16, 2026, 11:35 a.m.