Triple
T19815234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NH 65 |
E476042
|
entity |
| Predicate | passesThroughCity |
P416
|
FINISHED |
| Object |
Humnabad
Humnabad is a town in the Bidar district of Karnataka, India, known as a local commercial and transport hub in the region.
|
E1396837
|
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: Humnabad | Statement: [NH 65, passesThroughCity, Humnabad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Humnabad Context triple: [NH 65, passesThroughCity, Humnabad]
-
A.
Brahmanabad
Brahmanabad was an important early medieval city in the Sindh region (in present-day Pakistan), known as a major political and administrative center that came under Muslim rule during the early Islamic expansions into the Indian subcontinent.
-
B.
Nooriabad
Nooriabad is an industrial town in the Jamshoro District of Sindh, Pakistan, known for its manufacturing zones and proximity to Karachi.
-
C.
Nasirabad
Nasirabad is a town and administrative area located in the Balochistan region of present-day Pakistan.
-
D.
Nasirabad
Nasirabad is a village in the Lower Hunza region of northern Pakistan, known for its mountainous terrain and proximity to the Karakoram Range.
-
E.
Nasirabad
Nasirabad is a cantonment and town in Rajasthan, India, known for its military presence and proximity to the city of Ajmer.
- 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: Humnabad Triple: [NH 65, passesThroughCity, Humnabad]
Generated description
Humnabad is a town in the Bidar district of Karnataka, India, known as a local commercial and transport hub in the region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Humnabad Target entity description: Humnabad is a town in the Bidar district of Karnataka, India, known as a local commercial and transport hub in the region.
-
A.
Brahmanabad
Brahmanabad was an important early medieval city in the Sindh region (in present-day Pakistan), known as a major political and administrative center that came under Muslim rule during the early Islamic expansions into the Indian subcontinent.
-
B.
Nooriabad
Nooriabad is an industrial town in the Jamshoro District of Sindh, Pakistan, known for its manufacturing zones and proximity to Karachi.
-
C.
Nasirabad
Nasirabad is a town and administrative area located in the Balochistan region of present-day Pakistan.
-
D.
Nasirabad
Nasirabad is a village in the Lower Hunza region of northern Pakistan, known for its mountainous terrain and proximity to the Karakoram Range.
-
E.
Nasirabad
Nasirabad is a cantonment and town in Rajasthan, India, known for its military presence and proximity to the city of Ajmer.
- 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e654f861248190a633dd8d227d9697 |
completed | April 20, 2026, 4:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07cccc33fc8190958cc5d5cb2feb79 |
completed | May 16, 2026, 1:47 a.m. |
| NEDg | Description generation | batch_6a07ce282658819096ff374b1605146f |
completed | May 16, 2026, 1:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07cf0327408190be73a41d2663836a |
completed | May 16, 2026, 1:57 a.m. |
Created at: April 10, 2026, 1:50 p.m.