Triple
T10012403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Howrah Sadar subdivision |
E199405
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Andul
Andul is a suburban town in the Howrah district of West Bengal, India, known for its historical temples and proximity to Kolkata.
|
E837324
|
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: Andul | Statement: [Howrah Sadar subdivision, contains, Andul]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andul Context triple: [Howrah Sadar subdivision, contains, Andul]
-
A.
Andoolo
Andoolo is a small town that serves as an administrative center in the Indonesian province of Southeast Sulawesi.
-
B.
Antandrus
Antandrus was an ancient Greek city located in the region of Mysia on the northwestern coast of Asia Minor, known for its strategic position near Mount Ida and the Gulf of Adramyttium.
-
C.
Andru
Andru is a diminutive form of the given name Andrei, typically used as an affectionate or informal nickname.
-
D.
Arandis
Arandis is a small mining town in Namibia known primarily for its proximity to the Rossing uranium mine.
-
E.
Erandol
Erandol is a town in the Jalgaon district of Maharashtra, India, known for its agricultural economy and regional trading activities.
- 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: Andul Triple: [Howrah Sadar subdivision, contains, Andul]
Generated description
Andul is a suburban town in the Howrah district of West Bengal, India, known for its historical temples and proximity to Kolkata.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Andul Target entity description: Andul is a suburban town in the Howrah district of West Bengal, India, known for its historical temples and proximity to Kolkata.
-
A.
Andoolo
Andoolo is a small town that serves as an administrative center in the Indonesian province of Southeast Sulawesi.
-
B.
Antandrus
Antandrus was an ancient Greek city located in the region of Mysia on the northwestern coast of Asia Minor, known for its strategic position near Mount Ida and the Gulf of Adramyttium.
-
C.
Andru
Andru is a diminutive form of the given name Andrei, typically used as an affectionate or informal nickname.
-
D.
Arandis
Arandis is a small mining town in Namibia known primarily for its proximity to the Rossing uranium mine.
-
E.
Erandol
Erandol is a town in the Jalgaon district of Maharashtra, India, known for its agricultural economy and regional trading activities.
- 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_69ca8315a1a08190ab310f25620f362b |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd3cf5b881908f5318e55bdd22b6 |
completed | April 2, 2026, 1:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d28211c2448190897fd4078a266154 |
completed | April 5, 2026, 3:38 p.m. |
| NEDg | Description generation | batch_69d284a5bf78819095d60493272660bd |
completed | April 5, 2026, 3:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2850587c08190aba0f0b5d012d81d |
completed | April 5, 2026, 3:51 p.m. |
Created at: March 30, 2026, 8:52 p.m.