Triple
T4762850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bhojpur district |
E105736
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object |
Piro
Piro is a town in the Bhojpur district of Bihar, India, known as one of the district’s principal urban and commercial centers.
|
E469933
|
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: Piro | Statement: [Bhojpur district, hasMajorTown, Piro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Piro Context triple: [Bhojpur district, hasMajorTown, Piro]
-
A.
Pischa
Pischa is a mountain area and ski region near Davos in the Swiss Alps, known for its freeride terrain and winter sports opportunities.
-
B.
Pachnes
Pachnes is one of the highest mountain peaks in Crete, Greece, located in the rugged White Mountains range.
-
C.
Palam
Palam is a locality in southwest Delhi, India, historically known for its proximity to the former Palam Airport, now part of Indira Gandhi International Airport.
-
D.
Porul
Porul is the second section of the ancient Tamil classic Tirukkural, focusing on ethics, governance, politics, and social conduct.
-
E.
Pamiris
Pamiris are an Iranian ethnic group native to the mountainous Pamir region of Central Asia, known for their distinct Eastern Iranian languages and cultural traditions.
- 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: Piro Triple: [Bhojpur district, hasMajorTown, Piro]
Generated description
Piro is a town in the Bhojpur district of Bihar, India, known as one of the district’s principal urban and commercial centers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Piro Target entity description: Piro is a town in the Bhojpur district of Bihar, India, known as one of the district’s principal urban and commercial centers.
-
A.
Pischa
Pischa is a mountain area and ski region near Davos in the Swiss Alps, known for its freeride terrain and winter sports opportunities.
-
B.
Pachnes
Pachnes is one of the highest mountain peaks in Crete, Greece, located in the rugged White Mountains range.
-
C.
Palam
Palam is a locality in southwest Delhi, India, historically known for its proximity to the former Palam Airport, now part of Indira Gandhi International Airport.
-
D.
Porul
Porul is the second section of the ancient Tamil classic Tirukkural, focusing on ethics, governance, politics, and social conduct.
-
E.
Pamiris
Pamiris are an Iranian ethnic group native to the mountainous Pamir region of Central Asia, known for their distinct Eastern Iranian languages and cultural traditions.
- 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_69bd43f14cac819081c7c69803648211 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd651091cc81909b835439c85e842f |
completed | March 20, 2026, 3:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be43bad99c8190a170baefea057038 |
completed | March 21, 2026, 7:07 a.m. |
| NEDg | Description generation | batch_69be44210b8081908d2de14acf013c54 |
completed | March 21, 2026, 7:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be45477cbc8190bbfea83dfc64637f |
completed | March 21, 2026, 7:14 a.m. |
Created at: March 20, 2026, 1:20 p.m.