Triple
T27065767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Titash Ekti Nadir Naam |
E685168
|
entity |
| Predicate | hasRiverAsCentralMotif |
P168934
|
FINISHED |
| Object |
Titash River
Titash River is a river in eastern Bangladesh that gained cultural prominence as the central setting of the Bengali novel and film "Titash Ekti Nadir Naam."
|
E2285488
|
NE FINISHED |
How this triple was built (3 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: Titash River | Statement: [Titash Ekti Nadir Naam, hasRiverAsCentralMotif, Titash River]
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: Titash River Triple: [Titash Ekti Nadir Naam, hasRiverAsCentralMotif, Titash River]
Generated description
Titash River is a river in eastern Bangladesh that gained cultural prominence as the central setting of the Bengali novel and film "Titash Ekti Nadir Naam."
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRiverAsCentralMotif Context triple: [Titash Ekti Nadir Naam, hasRiverAsCentralMotif, Titash River]
-
A.
hasRiver
Indicates that a location or area contains, is traversed by, or is directly associated with a river.
-
B.
hasAncestralRiver
Indicates that an entity is associated with or originates from a river regarded as its ancestral or traditional source.
-
C.
hasSettlementOnRiver
Indicates that a settlement is located on or directly adjacent to a specific river.
-
D.
hasRiverineCharacteristic
Indicates that something possesses qualities, features, or conditions associated with rivers or river environments.
-
E.
hasMajorTownOnRiver
Indicates that a major town is located on and directly associated with a particular river.
- F. None of above. chosen
Provenance (7 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_69ef14835fcc81908bd737b4267ae528 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f67866e9248190b7ba218f9ca2ae8d |
completed | May 2, 2026, 10:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a45f1e5484c819080b4fa4809cc17b2 |
completed | July 2, 2026, 5:06 a.m. |
| NEDg | Description generation | batch_6a45f62ded008190a5ac436d6af1a661 |
completed | July 2, 2026, 5:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a45f73fb2d48190b50aac074636e7a4 |
completed | July 2, 2026, 5:29 a.m. |
| PD | Predicate disambiguation | batch_69f675fd59608190b246383435e68fce |
completed | May 2, 2026, 10:09 p.m. |
| PDg | Predicate description generation | batch_69f676c35f3481909b9ba18a5662d6ce |
completed | May 2, 2026, 10:12 p.m. |
Created at: April 27, 2026, 8:25 a.m.