Triple
T12217932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kannauj |
E291133
|
entity |
| Predicate | historicalName |
P65
|
FINISHED |
| Object |
Kanyākubja
Kanyākubja is an ancient North Indian city of great historical and cultural significance, known today as Kannauj.
|
E973918
|
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: Kanyākubja | Statement: [Kannauj, historicalName, Kanyākubja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kanyākubja Context triple: [Kannauj, historicalName, Kanyākubja]
-
A.
Koutiala
Koutiala is a major city in southern Mali known as an important center for cotton production and agriculture.
-
B.
Lagodekhi
Lagodekhi is a town in eastern Georgia known as a regional center near the Azerbaijani border and as the gateway to the Lagodekhi Protected Areas in the Kakheti region.
-
C.
Kushva
Kushva is a small industrial city in Russia’s Sverdlovsk Oblast, historically known for its iron ore mining in the Ural Mountains.
-
D.
Kausani
Kausani is a scenic hill town in Uttarakhand, India, renowned for its panoramic Himalayan views and tranquil natural surroundings.
-
E.
Kahuta
Kahuta is a town in Pakistan’s Punjab province known for hosting the country’s primary nuclear research and enrichment 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: Kanyākubja Triple: [Kannauj, historicalName, Kanyākubja]
Generated description
Kanyākubja is an ancient North Indian city of great historical and cultural significance, known today as Kannauj.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kanyākubja Target entity description: Kanyākubja is an ancient North Indian city of great historical and cultural significance, known today as Kannauj.
-
A.
Koutiala
Koutiala is a major city in southern Mali known as an important center for cotton production and agriculture.
-
B.
Lagodekhi
Lagodekhi is a town in eastern Georgia known as a regional center near the Azerbaijani border and as the gateway to the Lagodekhi Protected Areas in the Kakheti region.
-
C.
Kushva
Kushva is a small industrial city in Russia’s Sverdlovsk Oblast, historically known for its iron ore mining in the Ural Mountains.
-
D.
Kausani
Kausani is a scenic hill town in Uttarakhand, India, renowned for its panoramic Himalayan views and tranquil natural surroundings.
-
E.
Kahuta
Kahuta is a town in Pakistan’s Punjab province known for hosting the country’s primary nuclear research and enrichment 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c9419d48190b0037fe8edc681c4 |
completed | April 10, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e5882408190b4853f3a11c249c2 |
completed | May 2, 2026, 3:55 p.m. |
| NEDg | Description generation | batch_69f61f5b107c819082094791fcf7c5f4 |
completed | May 2, 2026, 3:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62006afcc8190b8e3b55a5fd8eaca |
completed | May 2, 2026, 4:02 p.m. |
Created at: April 8, 2026, 9:51 p.m.