Triple
T2749853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bihar |
E60958
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Katihar
Katihar is a city in eastern India known as a major railway junction and commercial center in the state of Bihar.
|
E297044
|
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: Katihar | Statement: [Bihar, containsCity, Katihar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Katihar Context triple: [Bihar, containsCity, Katihar]
-
A.
Chanhudaro
Chanhudaro is an archaeological site in present-day Pakistan known as a smaller but significant urban center of the Indus Valley Civilization, notable for its craft production and bead-making.
-
B.
Nishapuri
Nishapuri refers to the Iranian-origin Nishapurid dynasty from which the Nawabs of Awadh claimed descent.
-
C.
Kathiawar
Kathiawar is a peninsula in western India, in present-day Gujarat, historically known for its princely states and coastal trade centers.
-
D.
Hazratganj
Hazratganj is a historic and bustling commercial and cultural hub in Lucknow, known for its colonial-era architecture, shopping arcades, and vibrant street life.
-
E.
Kasarani
Kasarani is a residential and commercial suburb in northeastern Nairobi, Kenya, known for hosting major sports and 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: Katihar Triple: [Bihar, containsCity, Katihar]
Generated description
Katihar is a city in eastern India known as a major railway junction and commercial center in the state of Bihar.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Katihar Target entity description: Katihar is a city in eastern India known as a major railway junction and commercial center in the state of Bihar.
-
A.
Chanhudaro
Chanhudaro is an archaeological site in present-day Pakistan known as a smaller but significant urban center of the Indus Valley Civilization, notable for its craft production and bead-making.
-
B.
Nishapuri
Nishapuri refers to the Iranian-origin Nishapurid dynasty from which the Nawabs of Awadh claimed descent.
-
C.
Kathiawar
Kathiawar is a peninsula in western India, in present-day Gujarat, historically known for its princely states and coastal trade centers.
-
D.
Hazratganj
Hazratganj is a historic and bustling commercial and cultural hub in Lucknow, known for its colonial-era architecture, shopping arcades, and vibrant street life.
-
E.
Kasarani
Kasarani is a residential and commercial suburb in northeastern Nairobi, Kenya, known for hosting major sports and 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_69ab4b79846081909096725374d65ce9 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb52b1d48190b6ab511cc8834a14 |
completed | March 7, 2026, 8:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc03e69508190b55a4ad83fca3a45 |
completed | March 10, 2026, 6:54 a.m. |
| NEDg | Description generation | batch_69afc0e092848190889e85f017a7832c |
completed | March 10, 2026, 6:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afc159d0908190b4afe1a6b122076e |
completed | March 10, 2026, 6:59 a.m. |
Created at: March 6, 2026, 9:56 p.m.