Triple
T12155923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cubao MRT station |
E289573
|
entity |
| Predicate | hasTaxiAccess |
P24209
|
FINISHED |
| Object | Araneta City taxi stands |
—
|
LITERAL 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: Araneta City taxi stands | Statement: [Cubao MRT station, hasTaxiAccess, Araneta City taxi stands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTaxiAccess Context triple: [Cubao MRT station, hasTaxiAccess, Araneta City taxi stands]
-
A.
hasTaxiStand
chosen
Indicates that a location or facility includes or is served by a designated taxi stand area where taxis can wait for passengers.
-
B.
hasTaxiway
Indicates that an airport or runway is connected to or served by a taxiway used for aircraft ground movement.
-
C.
hasTransitAccessTo
Indicates that one place or entity is reachable from another via public or shared transportation services.
-
D.
hasMotorVehicleAccess
Indicates that an entity is permitted to use or operate a motor vehicle within a specified area, context, or under certain conditions.
-
E.
hasPublicTransitFunction
Indicates that something serves a role or provides a service related to public transportation operations or infrastructure.
- F. None of above.
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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915d7109481908bf5fe512bba3c89 |
completed | April 10, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69d9150c18148190bf8152189c0e5fca |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:50 p.m.