Triple
T7175646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Istanbul Metro |
E167312
|
entity |
| Predicate | hasLine |
P35
|
FINISHED |
| Object | M1B line |
E646534
|
NE FINISHED |
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: M1B line | Statement: [Istanbul Metro, hasLine, M1B line]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: M1B line Context triple: [Istanbul Metro, hasLine, M1B line]
-
A.
M1A line
chosen
The M1A line is a major rapid transit route in the Istanbul Metro system that connects central Istanbul with Atatürk Airport and several key western districts.
-
B.
M38 line
The M38 line is a metro route within the Istanbul Metro system that serves as part of the city's rapid transit network.
-
C.
M1 line
The M1 line is a light metro route in Lausanne, Switzerland, connecting the city center with the university and lakeside areas as part of the Lausanne Métro network.
-
D.
M1 line
The M1 line is one of the main rapid transit routes of the Istanbul Metro, connecting central districts with key transport hubs such as the airport and intercity bus terminal.
-
E.
M1 line
The M1 line is a primary rapid transit route of the Ankara Metro system serving key districts of Turkey’s capital city.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c68889a2748190a316c5e65360361a |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e88ec6a8819083cbc3f4c39b8c79 |
completed | March 27, 2026, 8:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7bf8a5d7c8190a7b52d46529dacb7 |
completed | March 28, 2026, 11:46 a.m. |
Created at: March 27, 2026, 2:48 p.m.