Triple
T1517676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karbi people |
E32156
|
entity |
| Predicate | festival |
P3113
|
FINISHED |
| Object |
Rongphu-Rongling
Rongphu-Rongling is a traditional cultural festival celebrated by the Karbi people, featuring indigenous rituals, music, and communal gatherings.
|
E173007
|
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: Rongphu-Rongling | Statement: [Karbi people, festival, Rongphu-Rongling]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rongphu-Rongling Context triple: [Karbi people, festival, Rongphu-Rongling]
-
A.
Changling
Changling is the largest and best-preserved mausoleum within Beijing’s Ming Tombs complex, built for the Yongle Emperor and his empress.
-
B.
Yangchenma
Yangchenma is a Tibetan Buddhist goddess of music, learning, and the arts, regarded as the Tibetan counterpart of the Indian deity Saraswati.
-
C.
Tongelre
Tongelre is a district in the Dutch city of Eindhoven, known for its mix of residential neighborhoods, green spaces, and former industrial areas.
-
D.
Salyan
Salyan is a town in Azerbaijan known for its location in the Kura River lowlands and its role as a regional administrative and economic center.
-
E.
Tshiguvhu
Tshiguvhu is a regional dialect of the Tshivenda language spoken by Venda communities in parts of South Africa.
- 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: Rongphu-Rongling Triple: [Karbi people, festival, Rongphu-Rongling]
Generated description
Rongphu-Rongling is a traditional cultural festival celebrated by the Karbi people, featuring indigenous rituals, music, and communal gatherings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rongphu-Rongling Target entity description: Rongphu-Rongling is a traditional cultural festival celebrated by the Karbi people, featuring indigenous rituals, music, and communal gatherings.
-
A.
Changling
Changling is the largest and best-preserved mausoleum within Beijing’s Ming Tombs complex, built for the Yongle Emperor and his empress.
-
B.
Yangchenma
Yangchenma is a Tibetan Buddhist goddess of music, learning, and the arts, regarded as the Tibetan counterpart of the Indian deity Saraswati.
-
C.
Tongelre
Tongelre is a district in the Dutch city of Eindhoven, known for its mix of residential neighborhoods, green spaces, and former industrial areas.
-
D.
Salyan
Salyan is a town in Azerbaijan known for its location in the Kura River lowlands and its role as a regional administrative and economic center.
-
E.
Tshiguvhu
Tshiguvhu is a regional dialect of the Tshivenda language spoken by Venda communities in parts of South Africa.
- 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_69a885e8caf88190a5fbb6159ce87786 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a907eb7d108190bf26199744d510d7 |
completed | March 5, 2026, 4:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad2344f8d8819082e1ae5c980d0525 |
completed | March 8, 2026, 7:20 a.m. |
| NEDg | Description generation | batch_69ad23d86d088190bbea03d5d49bc009 |
completed | March 8, 2026, 7:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad2459c38c8190a8c166c2743a8936 |
completed | March 8, 2026, 7:25 a.m. |
Created at: March 4, 2026, 7:26 p.m.