Triple
T2631611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 1 (Santiago Metro) |
E59642
|
entity |
| Predicate | nameInSpanish |
P2789
|
FINISHED |
| Object | Línea 1 |
E272651
|
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: Línea 1 | Statement: [Line 1 (Santiago Metro), nameInSpanish, Línea 1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Línea 1 Context triple: [Line 1 (Santiago Metro), nameInSpanish, Línea 1]
-
A.
Metro Line 1
chosen
Metro Line 1 is a primary rapid transit route in its city's metro system, serving as a major corridor for passenger travel and interchanges with other lines.
-
B.
LRT Line 1
LRT Line 1 is a major elevated urban rail line in Metro Manila, Philippines, forming part of the city’s light rail transit system and serving as a key north–south transport corridor.
-
C.
1 Line (Link light rail)
The 1 Line is a light rail line in Sound Transit's Link light rail system serving the Seattle metropolitan area in Washington State.
-
D.
Line 1
Line 1 is the first operational corridor of the Mumbai Monorail system, serving as a key elevated transit route in Mumbai, India.
-
E.
Line 1
Line 1 is the oldest and one of the busiest lines of the Mexico City Metro, running east–west across the city and serving many central, high-traffic stations.
- 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_69ab4ac8596c8190b34997e73d9e991c |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd8c6e540819087c7f92432b27b0f |
completed | March 7, 2026, 7:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af90a7021081909f81c4ddb48fa00c |
completed | March 10, 2026, 3:31 a.m. |
Created at: March 6, 2026, 9:50 p.m.