Triple
T11377619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahalaxmi |
E269509
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object |
Byculla
Byculla is a historic neighborhood in South Mumbai known for its old residential buildings, the Jijamata Udyan (Mumbai Zoo), and its diverse working-class communities.
|
E922202
|
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: Byculla | Statement: [Mahalaxmi, adjacentTo, Byculla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Byculla Context triple: [Mahalaxmi, adjacentTo, Byculla]
-
A.
Biegun
Biegun is a Polish surname borne by various individuals, including figures in politics, academia, and the arts.
-
B.
Bisztynek
Bisztynek is a small historic town in northern Poland, located in the Warmian-Masurian Voivodeship and known for its traditional architecture and regional cultural heritage.
-
C.
Ciecere
Ciecere is a river in western Latvia that serves as one of the tributaries of the Venta River.
-
D.
Kamionka
Kamionka is a district (sołectwo) of the town of Mikołów in the Silesian Voivodeship of southern Poland.
-
E.
Sokółka
Sokółka is a small town in northeastern Poland known for its location in the Podlasie region near the border with Belarus.
- 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: Byculla Triple: [Mahalaxmi, adjacentTo, Byculla]
Generated description
Byculla is a historic neighborhood in South Mumbai known for its old residential buildings, the Jijamata Udyan (Mumbai Zoo), and its diverse working-class communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Byculla Target entity description: Byculla is a historic neighborhood in South Mumbai known for its old residential buildings, the Jijamata Udyan (Mumbai Zoo), and its diverse working-class communities.
-
A.
Biegun
Biegun is a Polish surname borne by various individuals, including figures in politics, academia, and the arts.
-
B.
Bisztynek
Bisztynek is a small historic town in northern Poland, located in the Warmian-Masurian Voivodeship and known for its traditional architecture and regional cultural heritage.
-
C.
Ciecere
Ciecere is a river in western Latvia that serves as one of the tributaries of the Venta River.
-
D.
Kamionka
Kamionka is a district (sołectwo) of the town of Mikołów in the Silesian Voivodeship of southern Poland.
-
E.
Sokółka
Sokółka is a small town in northeastern Poland known for its location in the Podlasie region near the border with Belarus.
- 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_69d6aacca1048190b39dbbc2174616fa |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7fc30f5d48190bb273df4c9e583a9 |
completed | April 9, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e55697b2388190929d7e0b15d809ba |
completed | April 19, 2026, 10:26 p.m. |
| NEDg | Description generation | batch_69e562c8fb948190be87cca65c3b74e1 |
completed | April 19, 2026, 11:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e56aaa5c9081909f89cfe6a8fc03f0 |
completed | April 19, 2026, 11:52 p.m. |
Created at: April 8, 2026, 9:33 p.m.