Triple
T7238783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mutha River |
E155300
|
entity |
| Predicate | crossedBy |
P416
|
FINISHED |
| Object |
Lakdi Pul
Lakdi Pul is a well-known bridge in Pune, India, serving as a key connector across the Mutha River.
|
E650783
|
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: Lakdi Pul | Statement: [Mutha River, crossedBy, Lakdi Pul]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lakdi Pul Context triple: [Mutha River, crossedBy, Lakdi Pul]
-
A.
Titagarh
Titagarh is an industrial town in the North 24 Parganas district of eastern India, known historically for its jute mills and proximity to Kolkata.
-
B.
Kapadvanj
Kapadvanj is a historic town in the Kheda district of Gujarat, India, known for its traditional markets and regional cultural heritage.
-
C.
Sangla Valley
Sangla Valley is a picturesque Himalayan valley in Himachal Pradesh, India, renowned for its apple orchards, traditional Kinnauri culture, and dramatic mountain landscapes.
-
D.
Pehowa
Pehowa is a historic town in the Indian state of Haryana, known for its ancient temples and significance as a Hindu pilgrimage center.
-
E.
Nalhati
Nalhati is a town in the Birbhum district of West Bengal, India, known for its religious significance and regional marketplace.
- 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: Lakdi Pul Triple: [Mutha River, crossedBy, Lakdi Pul]
Generated description
Lakdi Pul is a well-known bridge in Pune, India, serving as a key connector across the Mutha River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lakdi Pul Target entity description: Lakdi Pul is a well-known bridge in Pune, India, serving as a key connector across the Mutha River.
-
A.
Titagarh
Titagarh is an industrial town in the North 24 Parganas district of eastern India, known historically for its jute mills and proximity to Kolkata.
-
B.
Kapadvanj
Kapadvanj is a historic town in the Kheda district of Gujarat, India, known for its traditional markets and regional cultural heritage.
-
C.
Sangla Valley
Sangla Valley is a picturesque Himalayan valley in Himachal Pradesh, India, renowned for its apple orchards, traditional Kinnauri culture, and dramatic mountain landscapes.
-
D.
Pehowa
Pehowa is a historic town in the Indian state of Haryana, known for its ancient temples and significance as a Hindu pilgrimage center.
-
E.
Nalhati
Nalhati is a town in the Birbhum district of West Bengal, India, known for its religious significance and regional marketplace.
- 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_69c688143bfc81908d4176617735e601 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea368fb88190bd9e991e8b94dac6 |
completed | March 27, 2026, 8:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7cc3d75b48190916bf327396f2666 |
completed | March 28, 2026, 12:40 p.m. |
| NEDg | Description generation | batch_69c7ce24f4148190877852983c9aadb5 |
completed | March 28, 2026, 12:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7ce9f73508190a2d1eb35237c3073 |
completed | March 28, 2026, 12:50 p.m. |
Created at: March 27, 2026, 2:55 p.m.