Triple
T10612951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sikh music (Gurbani Kirtan) |
E276049
|
entity |
| Predicate | associatedPractice |
P2458
|
FINISHED |
| Object |
Ardas
Ardas is a central Sikh prayer of supplication and gratitude, recited in congregational and personal worship to seek divine guidance and blessings.
|
E873915
|
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: Ardas | Statement: [Sikh music (Gurbani Kirtan), associatedPractice, Ardas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ardas Context triple: [Sikh music (Gurbani Kirtan), associatedPractice, Ardas]
-
A.
Dadu’a
Dadu’a is an indigenous local language spoken on Atauro Island, part of Timor-Leste.
-
B.
Shalateen
Shalateen is a remote Egyptian town near the Sudanese border, known for its Bedouin communities, camel markets, and strategic location along the Red Sea coast.
-
C.
Gudakesha
Gudakesha is an epithet of the warrior prince Arjuna from the Indian epic Mahabharata, highlighting his mastery over sleep and unwavering focus.
-
D.
Shekhani
Shekhani is a dialect of the Kati language spoken by communities in parts of Afghanistan and Pakistan.
-
E.
Bano Qudsia
Bano Qudsia was a renowned Pakistani novelist, playwright, and short story writer celebrated for her profound contributions to Urdu literature and exploration of spiritual and social themes.
- 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: Ardas Triple: [Sikh music (Gurbani Kirtan), associatedPractice, Ardas]
Generated description
Ardas is a central Sikh prayer of supplication and gratitude, recited in congregational and personal worship to seek divine guidance and blessings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ardas Target entity description: Ardas is a central Sikh prayer of supplication and gratitude, recited in congregational and personal worship to seek divine guidance and blessings.
-
A.
Dadu’a
Dadu’a is an indigenous local language spoken on Atauro Island, part of Timor-Leste.
-
B.
Shalateen
Shalateen is a remote Egyptian town near the Sudanese border, known for its Bedouin communities, camel markets, and strategic location along the Red Sea coast.
-
C.
Gudakesha
Gudakesha is an epithet of the warrior prince Arjuna from the Indian epic Mahabharata, highlighting his mastery over sleep and unwavering focus.
-
D.
Shekhani
Shekhani is a dialect of the Kati language spoken by communities in parts of Afghanistan and Pakistan.
-
E.
Bano Qudsia
Bano Qudsia was a renowned Pakistani novelist, playwright, and short story writer celebrated for her profound contributions to Urdu literature and exploration of spiritual and social themes.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df5baf94819097b14a73af058f35 |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d95ecd44b08190bccbedd63544ba17 |
completed | April 10, 2026, 8:34 p.m. |
| NEDg | Description generation | batch_69d95fc0430c8190b968a651d854d041 |
completed | April 10, 2026, 8:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d9610843048190913190bf546d3df1 |
completed | April 10, 2026, 8:43 p.m. |
Created at: April 8, 2026, 7:33 p.m.