Triple
T23035751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MRT Line 6 |
E573588
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Uttara |
—
|
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: Uttara | Statement: [MRT Line 6, serves, Uttara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uttara Context triple: [MRT Line 6, serves, Uttara]
-
A.
Uttara
Uttara is a small settlement located on Middle Andaman Island in the Andaman and Nicobar Islands of India.
-
B.
Uttara
Uttara is a prince of the Matsya kingdom in the Mahabharata, known for serving as Arjuna’s charioteer during the battle against the Kaurava forces in the Virata Parva.
-
C.
Uttara
Uttara is an acclaimed Indian Bengali film directed by Buddhadeb Dasgupta, noted for its allegorical exploration of violence, faith, and rural life.
-
D.
Uttara
chosen
Uttara is a major residential and commercial suburb in the northern part of Dhaka, Bangladesh, known for its planned sectors and proximity to the airport.
-
E.
Uttaraa
Uttaraa is a character from the Indian epic Mahabharata, known as the daughter of King Virata and the wife of Abhimanyu, making her the mother of Parikshit.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245b911188190bc3d96326c847969 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1850df7fc81909ee522d99d96af0d |
completed | April 29, 2026, 4:11 a.m. |
Created at: April 17, 2026, 3:53 p.m.