Triple
T2487971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metrobus Line 5 |
E55972
|
entity |
| Predicate | connectsWith |
P37
|
FINISHED |
| Object | Metro Line 6 |
E48944
|
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: Metro Line 6 | Statement: [Metrobus Line 5, connectsWith, Metro Line 6]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Metro Line 6 Context triple: [Metrobus Line 5, connectsWith, Metro Line 6]
-
A.
Metro Line 6
chosen
Metro Line 6 is a line of the Mexico City Metro system that serves the northern part of the city, including the Gustavo A. Madero borough.
-
B.
Metro Line 7
Metro Line 7 is a rapid transit route in a metropolitan subway network that connects multiple key districts and serves as an interchange point with several other lines.
-
C.
Metro Line 5
Metro Line 5 is a rapid transit route within a city's metro system that connects with Metro Line 6 at one or more interchange stations.
-
D.
Metro Line 4
Metro Line 4 is a rapid transit route within a city's metro system that connects with other lines, including Metro Line 6, to facilitate passenger transfers across the network.
-
E.
Metro Line 54
Metro Line 54 is a rapid transit line in the Amsterdam Metro system that connects the city center with southeastern suburbs such as Bijlmermeer.
- 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_69ab49e670a88190b928e08302381710 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd179c44881909cd6c7626cadaf10 |
completed | March 7, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af654aab208190adbc5fb6bd500106 |
completed | March 10, 2026, 12:26 a.m. |
Created at: March 6, 2026, 9:45 p.m.