Triple
T25560726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Namkhana |
E640705
|
entity |
| Predicate | hasRiverCrossing |
P1970
|
FINISHED |
| Object |
Hatania-Doania river crossing
Hatania-Doania river crossing is a key ferry and bridge point over the Hatania-Doania River in Namkhana, West Bengal, facilitating transport to the Sunderban coastal areas including Bakkhali.
|
E1681994
|
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: Hatania-Doania river crossing | Statement: [Namkhana, hasRiverCrossing, Hatania-Doania river crossing]
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: Hatania-Doania river crossing Triple: [Namkhana, hasRiverCrossing, Hatania-Doania river crossing]
Generated description
Hatania-Doania river crossing is a key ferry and bridge point over the Hatania-Doania River in Namkhana, West Bengal, facilitating transport to the Sunderban coastal areas including Bakkhali.
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_69e75dc1beb08190bac7d76b8d6e7bc4 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f8f8f1488190975d56d6dfad3d25 |
completed | May 2, 2026, 1:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a10ada62b908190853c98d4a3a6648d |
completed | May 22, 2026, 7:25 p.m. |
| NEDg | Description generation | batch_6a10ae9a24a88190a48bcca64f207d81 |
completed | May 22, 2026, 7:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a10af06a9f481909a2d7d60bb409214 |
completed | May 22, 2026, 7:31 p.m. |
Created at: April 21, 2026, 3:46 p.m.