Triple
T1752575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Howrah |
E38476
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object |
Liluah
Liluah is a suburban locality in the Howrah district of West Bengal, India, known for its residential areas and railway facilities near Kolkata.
|
E196587
|
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: Liluah | Statement: [Howrah, hasNeighbourhood, Liluah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liluah Context triple: [Howrah, hasNeighbourhood, Liluah]
-
A.
Tynaarlo
Tynaarlo is a municipality in the northeastern Netherlands known for its rural character and location between the cities of Groningen and Assen.
-
B.
Yeola
Yeola is a town in the Nashik district of Maharashtra, India, known historically as the birthplace of the Indian freedom fighter Tatya Tope.
-
C.
Zeilin
Zeilin is a surname most notably associated with Jacob Zeilin, the first United States Marine Corps officer to be promoted to the rank of brigadier general.
-
D.
Lalsalu
Lalsalu is a classic Bengali novel by Syed Waliullah that explores religious hypocrisy and rural life in East Bengal.
-
E.
Mella
Mella is a Spanish-language surname most notably associated with Cuban revolutionary leader Julio Antonio Mella.
- 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: Liluah Triple: [Howrah, hasNeighbourhood, Liluah]
Generated description
Liluah is a suburban locality in the Howrah district of West Bengal, India, known for its residential areas and railway facilities near Kolkata.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Liluah Target entity description: Liluah is a suburban locality in the Howrah district of West Bengal, India, known for its residential areas and railway facilities near Kolkata.
-
A.
Tynaarlo
Tynaarlo is a municipality in the northeastern Netherlands known for its rural character and location between the cities of Groningen and Assen.
-
B.
Yeola
Yeola is a town in the Nashik district of Maharashtra, India, known historically as the birthplace of the Indian freedom fighter Tatya Tope.
-
C.
Zeilin
Zeilin is a surname most notably associated with Jacob Zeilin, the first United States Marine Corps officer to be promoted to the rank of brigadier general.
-
D.
Lalsalu
Lalsalu is a classic Bengali novel by Syed Waliullah that explores religious hypocrisy and rural life in East Bengal.
-
E.
Mella
Mella is a Spanish-language surname most notably associated with Cuban revolutionary leader Julio Antonio Mella.
- 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_69a8862bdb2081908aefe831c8aa8017 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa641432d88190ab4254cb4c3ad402 |
completed | March 6, 2026, 5:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada0e625c48190a0fbda31010bdc5f |
completed | March 8, 2026, 4:16 p.m. |
| NEDg | Description generation | batch_69ada1e13d408190b393c00c331125a2 |
completed | March 8, 2026, 4:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ada292a34c8190a566c2909342ab27 |
completed | March 8, 2026, 4:23 p.m. |
Created at: March 4, 2026, 7:31 p.m.