Triple
T17285441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lieutenant Baugh |
E419641
|
entity |
| Predicate | locationOfActivity |
P1527
|
FINISHED |
| Object | Barrackpore |
E70407
|
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: Barrackpore | Statement: [Lieutenant Baugh, locationOfActivity, Barrackpore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barrackpore Context triple: [Lieutenant Baugh, locationOfActivity, Barrackpore]
-
A.
Barrackpore
chosen
Barrackpore is a historic cantonment town in West Bengal, India, notable as an early British military base and a key site in the events leading up to the Indian Rebellion of 1857.
-
B.
Jalukbari
Jalukbari is a locality in Guwahati, Assam, known as an educational hub that hosts institutions such as Gauhati University.
-
C.
Barasat
Barasat is a suburban city in the North 24 Parganas district of West Bengal, India, forming part of the Kolkata metropolitan area and serving as an important residential and commercial hub.
-
D.
Serampore
Serampore is a historic town on the Hooghly River in West Bengal, India, known for its colonial-era architecture and as a former Danish trading settlement.
-
E.
Berhampore
Berhampore is a major town and administrative center in the Murshidabad district of West Bengal, India, known for its historical significance and role in regional governance and education.
- 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_69d886da626481908a14ce7830329a35 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e4332cabdc8190bbc711ab806d53bf |
completed | April 19, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a017955448481909c2464a14c2a9799 |
completed | May 11, 2026, 6:38 a.m. |
Created at: April 10, 2026, 5:40 a.m.