Triple
T874063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holi |
E18876
|
entity |
| Predicate | mainDay |
P4563
|
FINISHED |
| Object |
Dhulandi
Dhulandi is the vibrant second day of the Holi festival in India, celebrated with the playful throwing of colored powders and water.
|
E103905
|
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: Dhulandi | Statement: [Holi, mainDay, Dhulandi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dhulandi Context triple: [Holi, mainDay, Dhulandi]
-
A.
Al Muntaha
Al Muntaha is a fine-dining restaurant located near the top of Dubai’s iconic Burj Al Arab, known for its upscale cuisine and panoramic views of the city and Persian Gulf.
-
B.
Ta Shemau
Ta Shemau is the ancient Egyptian name for Upper Egypt, the southern region of the Nile Valley that formed one of the two principal divisions of ancient Egypt.
-
C.
Thari
Thari is a regional dialect of the Sindhi language spoken primarily in the Thar Desert region of Pakistan and India.
-
D.
Zeb-un-Nissa
Zeb-un-Nissa was a Mughal princess and noted Persian-language poet renowned for her literary works and intellectual pursuits in 17th-century India.
-
E.
Ishbak
Ishbak is a lesser-known son of the biblical patriarch Abraham, mentioned among the children he had later in life.
- 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: Dhulandi Triple: [Holi, mainDay, Dhulandi]
Generated description
Dhulandi is the vibrant second day of the Holi festival in India, celebrated with the playful throwing of colored powders and water.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dhulandi Target entity description: Dhulandi is the vibrant second day of the Holi festival in India, celebrated with the playful throwing of colored powders and water.
-
A.
Al Muntaha
Al Muntaha is a fine-dining restaurant located near the top of Dubai’s iconic Burj Al Arab, known for its upscale cuisine and panoramic views of the city and Persian Gulf.
-
B.
Ta Shemau
Ta Shemau is the ancient Egyptian name for Upper Egypt, the southern region of the Nile Valley that formed one of the two principal divisions of ancient Egypt.
-
C.
Thari
Thari is a regional dialect of the Sindhi language spoken primarily in the Thar Desert region of Pakistan and India.
-
D.
Zeb-un-Nissa
Zeb-un-Nissa was a Mughal princess and noted Persian-language poet renowned for her literary works and intellectual pursuits in 17th-century India.
-
E.
Ishbak
Ishbak is a lesser-known son of the biblical patriarch Abraham, mentioned among the children he had later in life.
- 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_69a4938db1f081909bcd1ad2713b6096 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b2b8063081909566c404ca63a29e |
completed | March 1, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7b84fb2d0819084c256023bc23dc5 |
completed | March 4, 2026, 4:42 a.m. |
| NEDg | Description generation | batch_69a7b985298c8190b465ce0589cd2c24 |
completed | March 4, 2026, 4:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7ba46a2ec8190892404cb1f259cf0 |
completed | March 4, 2026, 4:51 a.m. |
Created at: March 1, 2026, 7:39 p.m.