Triple
T8181151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Subte |
E191062
|
entity |
| Predicate | hasLine |
P35
|
FINISHED |
| Object | Line H |
E191065
|
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: Line H | Statement: [Subte, hasLine, Line H]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Line H Context triple: [Subte, hasLine, Line H]
-
A.
Line H
chosen
Line H is a rapid transit line of the Buenos Aires Underground that runs north–south, connecting key neighborhoods and serving as an important corridor in the city’s metro network.
-
B.
Line H
Line H is a cable car line of the Medellín Metro system that serves hillside neighborhoods by connecting them to the city’s main transit network.
-
C.
line H
Line H is a suburban rail line in the Transilien network serving commuter routes in the northern suburbs of the Paris metropolitan area.
-
D.
Line L
Line L is a cable car line of the Medellín Metro system that serves hillside neighborhoods by connecting them to the main urban transit network.
-
E.
Line E
Line E is one of the routes of the Strasbourg tramway network, providing urban light-rail transit service across parts of Strasbourg and its surrounding areas.
- 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_69ca82c4538081909404325aa5639483 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4c4c2e388190b86854f8b1765e61 |
completed | March 31, 2026, 4:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbf86f8848190a196f7c8d3ad2b36 |
completed | April 1, 2026, 6:47 a.m. |
Created at: March 30, 2026, 5:40 p.m.