Triple
T24933355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Willison railway station |
E623246
|
entity |
| Predicate | platform2Direction |
P157874
|
FINISHED |
| Object | towards Alamein |
—
|
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: towards Alamein | Statement: [Willison railway station, platform2Direction, towards Alamein]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: platform2Direction Context triple: [Willison railway station, platform2Direction, towards Alamein]
-
A.
platform2Direction
chosen
Indicates the direction or orientation associated with a second platform in a given context.
-
B.
platform1Direction
Indicates the direction or orientation associated with the first platform in a given context.
-
C.
directedForPlatform
Indicates that something (such as content or a message) is specifically aimed at, tailored to, or intended for a particular platform.
-
D.
platformStrategy
Indicates a relationship where an entity defines or employs an overarching plan for building, managing, or leveraging a platform to create and capture value among its participants.
-
E.
platformMate
Indicates that two entities are located on the same platform or share the same platform context at a given time.
- 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_69e2fac6b5a48190a1c38857f00915a9 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f47b865df48190bf4b6d3e9f9305e6 |
completed | May 1, 2026, 10:08 a.m. |
| PD | Predicate disambiguation | batch_69f4682c8a3c8190adbfaac99474eaaf |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 18, 2026, 5:30 a.m.