Triple
T9031544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chandela dynasty |
E216383
|
entity |
| Predicate | notableRuler |
P22
|
FINISHED |
| Object |
Paramardi
Paramardi was a 12th-century Chandela king of central India, known for his resistance to early Ghurid invasions and for ruling during the decline of Chandela power.
|
E772574
|
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: Paramardi | Statement: [Chandela dynasty, notableRuler, Paramardi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paramardi Context triple: [Chandela dynasty, notableRuler, Paramardi]
-
A.
Prabumulih
Prabumulih is a significant urban and economic center in Indonesia’s South Sumatra province, known particularly for its role in the regional oil and gas industry.
-
B.
Blitar
Blitar is a city in East Java, Indonesia, best known as the hometown and final resting place of the country’s first president, Sukarno.
-
C.
Citeureup
Citeureup is a district in West Java, Indonesia, known as one of the industrial and residential areas within the Bogor metropolitan region.
-
D.
Bima City
Bima City is an urban municipality on the eastern part of Sumbawa Island in Indonesia, serving as a regional economic and cultural center.
-
E.
Pangandaran
Pangandaran is a coastal regency in West Java, Indonesia, known for its beaches, tourism, and growing educational facilities.
- 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: Paramardi Triple: [Chandela dynasty, notableRuler, Paramardi]
Generated description
Paramardi was a 12th-century Chandela king of central India, known for his resistance to early Ghurid invasions and for ruling during the decline of Chandela power.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Paramardi Target entity description: Paramardi was a 12th-century Chandela king of central India, known for his resistance to early Ghurid invasions and for ruling during the decline of Chandela power.
-
A.
Prabumulih
Prabumulih is a significant urban and economic center in Indonesia’s South Sumatra province, known particularly for its role in the regional oil and gas industry.
-
B.
Blitar
Blitar is a city in East Java, Indonesia, best known as the hometown and final resting place of the country’s first president, Sukarno.
-
C.
Citeureup
Citeureup is a district in West Java, Indonesia, known as one of the industrial and residential areas within the Bogor metropolitan region.
-
D.
Bima City
Bima City is an urban municipality on the eastern part of Sumbawa Island in Indonesia, serving as a regional economic and cultural center.
-
E.
Pangandaran
Pangandaran is a coastal regency in West Java, Indonesia, known for its beaches, tourism, and growing educational facilities.
- 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_69ca83d10b608190b2b2f8e0a7faaf14 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6a9f2c7481909b4a272183f20585 |
completed | April 1, 2026, 12:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdbc662208190a3f4e6e593208c5c |
completed | April 3, 2026, 3:24 p.m. |
| NEDg | Description generation | batch_69cfdceaa44c81909384939d651b9a61 |
completed | April 3, 2026, 3:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfdd75761c8190b17f97184ae07810 |
completed | April 3, 2026, 3:32 p.m. |
Created at: March 30, 2026, 7:08 p.m.