Triple
T27432638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turag River |
E690686
|
entity |
| Predicate | banksHost |
P162405
|
FINISHED |
| Object | Bishwa Ijtema grounds at Tongi |
—
|
NE NERFINISHED |
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: Bishwa Ijtema grounds at Tongi | Statement: [Turag River, banksHost, Bishwa Ijtema grounds at Tongi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: banksHost Context triple: [Turag River, banksHost, Bishwa Ijtema grounds at Tongi]
-
A.
banksOften
Indicates that the subject frequently or habitually engages in banking activities with the object (such as depositing, withdrawing, or otherwise using banking services).
-
B.
bankSection
Indicates a specific part or division within a bank that is associated with or relevant to the related entity.
-
C.
bank
Indicates that an entity provides financial services such as holding deposits, lending money, or managing financial transactions for another entity.
-
D.
connectsBank
Indicates a relationship where one entity serves to link or provide access between another entity and a bank or banking service.
-
E.
bankingType
Indicates the category or model of banking relationship or services associated with an entity (e.g., retail, corporate, investment).
- F. None of above. chosen
Provenance (4 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_69ef52003fb48190b0f1295246182a86 |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f62d5ae2f481909ab113c257e75f9c |
completed | May 2, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69f623aaf40081909f947431424a1d55 |
completed | May 2, 2026, 4:17 p.m. |
| PDg | Predicate description generation | batch_69f624c006788190a2f4d5015c96463f |
completed | May 2, 2026, 4:22 p.m. |
Created at: April 27, 2026, 12:42 p.m.