Triple
T34284739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PHMNL |
E879701
|
entity |
| Predicate | hasRailTerminalFunction |
P19495
|
FINISHED |
| Object | no |
—
|
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: no | Statement: [PHMNL, hasRailTerminalFunction, no]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRailTerminalFunction Context triple: [PHMNL, hasRailTerminalFunction, no]
-
A.
hasRailInterchangeFunction
Indicates that something serves as a location or facility where rail lines connect or intersect, allowing passengers or goods to transfer between them.
-
B.
hasRailFacility
chosen
Indicates that an entity possesses or is served by a rail-related facility, such as a railway station, terminal, or yard.
-
C.
hasPassengerTerminalFunction
Indicates that something serves the role or performs the function of a passenger terminal, supporting the handling and movement of passengers.
-
D.
hasRailStation
Indicates that one entity possesses, contains, or is served by a rail station.
-
E.
isTerminalForSomeTrains
Indicates that a station or stop serves as the final destination (terminus) for at least one train route.
- 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_69f349b5f6648190b9420d94a4cd16e0 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd2839880c819099a7a89783f2270e |
completed | May 8, 2026, 12:03 a.m. |
| PD | Predicate disambiguation | batch_69fd23dc5da48190ae8ba08947d34956 |
completed | May 7, 2026, 11:44 p.m. |
Created at: May 1, 2026, 1:57 a.m.