Triple
T6247470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Admiralty Bay |
E139753
|
entity |
| Predicate | isNear |
P350
|
FINISHED |
| Object | Machu Picchu Station |
E295695
|
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: Machu Picchu Station | Statement: [Admiralty Bay, isNear, Machu Picchu Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Machu Picchu Station Context triple: [Admiralty Bay, isNear, Machu Picchu Station]
-
A.
Machu Picchu station
chosen
Machu Picchu station is the main railway terminal serving the town of Aguas Calientes, the gateway for visitors traveling by train to the Machu Picchu archaeological site in Peru.
-
B.
Mirador station
Mirador station is a stop on Santiago, Chile’s Metro system, serving passengers on Line 5 in the city’s urban transit network.
-
C.
Gamarra station
Gamarra station is a rapid transit stop on Line 1 of the Lima Metro serving the busy commercial district of Gamarra in La Victoria, Lima, Peru.
-
D.
La Paz station
La Paz station is a Mexico City Metro terminal station serving as the eastern endpoint of Line A in the State of Mexico.
-
E.
Buendia station
Buendia station is an elevated rapid transit stop on Manila's MRT Line 3 serving the busy Buendia Avenue area in Makati, Philippines.
- 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_69c008b1c5088190ae6de2555fc05ad8 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0631f511c81908d413320efdce42e |
completed | March 22, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5191599d0819098a1b20b9d680f4b |
completed | March 26, 2026, 11:31 a.m. |
Created at: March 22, 2026, 4:23 p.m.