Triple
T5246493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aurora Boulevard |
E118471
|
entity |
| Predicate | hasRailStationsAlong |
P918
|
FINISHED |
| Object | V. Mapa station |
E277586
|
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: V. Mapa station | Statement: [Aurora Boulevard, hasRailStationsAlong, V. Mapa station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: V. Mapa station Context triple: [Aurora Boulevard, hasRailStationsAlong, V. Mapa station]
-
A.
V. Mapa station
chosen
V. Mapa station is an elevated Manila Light Rail Transit Line 2 station located in the Santa Mesa area of Manila, Philippines.
-
B.
Viau station
Viau station is a Montreal Metro station on the Green Line, serving the Hochelaga-Maisonneuve area and providing access to nearby attractions such as the Olympic Park.
-
C.
Frunzenskaya station
Frunzenskaya station is a Moscow Metro station known for its deep-level construction and classic Soviet-era architectural design.
-
D.
Khimvolokno station
Khimvolokno station is a stop on the Volgograd Metrotram light rail system in Volgograd, Russia.
-
E.
Kachinskaya station
Kachinskaya station is a stop on the Volgograd Metrotram light rail system in Volgograd, Russia.
- 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_69bd4468aacc8190a8196f71855cdf4f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd847049648190ab24693e92f0dad1 |
completed | March 20, 2026, 5:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bef832ae8481908a90faf66c1db631 |
completed | March 21, 2026, 7:57 p.m. |
Created at: March 20, 2026, 1:50 p.m.