Triple
T10618360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deoghar |
E295180
|
entity |
| Predicate | nearestMajorCity |
P1982
|
FINISHED |
| Object |
Dumka
Dumka is a town and administrative center in the Indian state of Jharkhand, known as the headquarters of Dumka district and part of the Santhal Pargana region.
|
E875395
|
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: Dumka | Statement: [Deoghar, nearestMajorCity, Dumka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dumka Context triple: [Deoghar, nearestMajorCity, Dumka]
-
A.
Begusarai
Begusarai is an industrial and agricultural city in the Indian state of Bihar, known for its oil refinery and role as a regional commercial hub.
-
B.
Gobardanga
Gobardanga is a town in the Indian state of West Bengal known for its suburban character and connectivity to Kolkata via the Sealdah–Bangaon railway line.
-
C.
Chilahati
Chilahati is a town in northern Bangladesh known for its railway station that serves as a key border transit point on the rail link between Bangladesh and India.
-
D.
Diphu
Diphu is a town in the Karbi Anglong district of Assam, India, known as an administrative and educational hub in the region.
-
E.
Rangapara
Rangapara is a town in the Sonitpur district of Assam, India, known as a local educational and transportation hub in the region.
- 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: Dumka Triple: [Deoghar, nearestMajorCity, Dumka]
Generated description
Dumka is a town and administrative center in the Indian state of Jharkhand, known as the headquarters of Dumka district and part of the Santhal Pargana region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dumka Target entity description: Dumka is a town and administrative center in the Indian state of Jharkhand, known as the headquarters of Dumka district and part of the Santhal Pargana region.
-
A.
Begusarai
Begusarai is an industrial and agricultural city in the Indian state of Bihar, known for its oil refinery and role as a regional commercial hub.
-
B.
Gobardanga
Gobardanga is a town in the Indian state of West Bengal known for its suburban character and connectivity to Kolkata via the Sealdah–Bangaon railway line.
-
C.
Chilahati
Chilahati is a town in northern Bangladesh known for its railway station that serves as a key border transit point on the rail link between Bangladesh and India.
-
D.
Diphu
Diphu is a town in the Karbi Anglong district of Assam, India, known as an administrative and educational hub in the region.
-
E.
Rangapara
Rangapara is a town in the Sonitpur district of Assam, India, known as a local educational and transportation hub in the region.
- 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d6df6ee1848190a7d5fcd40b06cfe3 |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96b86a5bc8190863034cc91fdbbb9 |
completed | April 10, 2026, 9:28 p.m. |
| NEDg | Description generation | batch_69d96def8bfc81909d6a5addf724691b |
completed | April 10, 2026, 9:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d96fedb18881908570593856f4aade |
completed | April 10, 2026, 9:47 p.m. |
Created at: April 8, 2026, 8:19 p.m.