Triple
T8338721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baranagar |
E195854
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Dum Dum |
E162678
|
NE FINISHED |
How this triple was built (2 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: Dum Dum | Statement: [Baranagar, connectsTo, Dum Dum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dum Dum Context triple: [Baranagar, connectsTo, Dum Dum]
-
A.
Dum Dum
chosen
Dum Dum is a suburban city near Kolkata in eastern India, known for housing the Netaji Subhas Chandra Bose International Airport and having a significant role in the region’s transport and industry.
-
B.
Simi Hills
Simi Hills is a low, rugged mountain range in Southern California known for its chaparral-covered slopes, scenic open space, and role as a natural corridor between the Santa Monica and Santa Susana Mountains.
-
C.
South Dum Dum
South Dum Dum is a suburban town in the North 24 Parganas district near Kolkata in the Indian state of West Bengal.
-
D.
Damoh
Damoh is a city in central India that serves as the administrative headquarters of Damoh district in the state of Madhya Pradesh.
-
E.
Kalyan
Kalyan is a major railway junction and suburban city in the Mumbai Metropolitan Region, serving as a key transit hub for long-distance and local trains in Maharashtra, India.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca82ecbdc481908a55cad8ca062d88 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fd68e348190a7cb8639a263b50f |
completed | March 31, 2026, 8:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc71a9abc8190881ff73c6fe851cd |
completed | April 2, 2026, 1:32 a.m. |
Created at: March 30, 2026, 5:57 p.m.