Triple
T23035693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DMR |
E573587
|
entity |
| Predicate | firstLine |
P829
|
FINISHED |
| Object | MRT Line 6 |
—
|
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: MRT Line 6 | Statement: [DMR, firstLine, MRT Line 6]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MRT Line 6 Context triple: [DMR, firstLine, MRT Line 6]
-
A.
MRT Line 6
chosen
MRT Line 6 is the inaugural mass rapid transit corridor of Dhaka, Bangladesh, forming the backbone of the city’s emerging metro rail network.
-
B.
MRT Line 7
MRT Line 7 is a rapid transit line under development in Metro Manila, Philippines, intended to connect Quezon City with the city of San Jose del Monte in Bulacan.
-
C.
MRT Line 5
MRT Line 5 is a planned major rapid transit corridor of the Dhaka Metro Rail network intended to improve urban connectivity and reduce congestion in Bangladesh’s capital.
-
D.
MRT Line 8
MRT Line 8 is a planned rapid transit line intended to expand Manila’s Metro Rail Transit System and improve east–west connectivity across Metro Manila.
-
E.
MRT Line 4
MRT Line 4 is a planned elevated rapid transit line intended to connect key eastern suburbs with central Metro Manila in the Philippines.
- 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.