Triple
T3931642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duleep Singh |
E90806
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object |
Sukerchakia misl
Sukerchakia Misl was a prominent 18th-century Sikh confederacy in Punjab that later formed the core of Maharaja Ranjit Singh’s Sikh Empire.
|
E399481
|
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: Sukerchakia misl | Statement: [Duleep Singh, memberOf, Sukerchakia misl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sukerchakia misl Context triple: [Duleep Singh, memberOf, Sukerchakia misl]
-
A.
Sukki
Sukki is one of the four snowman mascots created to represent the 1998 Winter Olympics in Nagano, Japan.
-
B.
Sakaar
Sakaar is a chaotic, trash-covered planet ruled by the Grandmaster in the Marvel Cinematic Universe, known for its gladiatorial contests and bizarre cosmic detritus.
-
C.
Huajicori
Huajicori is a small municipality and town located in the northern part of the Mexican state of Nayarit.
-
D.
Kukarka
Kukarka is a small Russian locality historically known as the birthplace of Soviet politician Vyacheslav Molotov.
-
E.
Shakarparian
Shakarparian is a popular hilltop park and viewpoint in Islamabad, Pakistan, known for its scenic city vistas, gardens, and national monuments.
- 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: Sukerchakia misl Triple: [Duleep Singh, memberOf, Sukerchakia misl]
Generated description
Sukerchakia Misl was a prominent 18th-century Sikh confederacy in Punjab that later formed the core of Maharaja Ranjit Singh’s Sikh Empire.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sukerchakia misl Target entity description: Sukerchakia Misl was a prominent 18th-century Sikh confederacy in Punjab that later formed the core of Maharaja Ranjit Singh’s Sikh Empire.
-
A.
Sukki
Sukki is one of the four snowman mascots created to represent the 1998 Winter Olympics in Nagano, Japan.
-
B.
Sakaar
Sakaar is a chaotic, trash-covered planet ruled by the Grandmaster in the Marvel Cinematic Universe, known for its gladiatorial contests and bizarre cosmic detritus.
-
C.
Huajicori
Huajicori is a small municipality and town located in the northern part of the Mexican state of Nayarit.
-
D.
Kukarka
Kukarka is a small Russian locality historically known as the birthplace of Soviet politician Vyacheslav Molotov.
-
E.
Shakarparian
Shakarparian is a popular hilltop park and viewpoint in Islamabad, Pakistan, known for its scenic city vistas, gardens, and national monuments.
- 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_69aed95f26e0819094b0e71974543a19 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeeda98058819094dd6ab223670860 |
completed | March 9, 2026, 3:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5288408f0819090217513e7a21091 |
completed | March 14, 2026, 9:21 a.m. |
| NEDg | Description generation | batch_69b5294a9b80819083124bc2ff6828aa |
completed | March 14, 2026, 9:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b529f6a3488190a7a9ae37f71cff56 |
completed | March 14, 2026, 9:27 a.m. |
Created at: March 9, 2026, 3:23 p.m.