Triple
T2496724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rawtenstall railway station |
E52167
|
entity |
| Predicate | hasSignalBox |
P39821
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Rawtenstall railway station, hasSignalBox, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSignalBox Context triple: [Rawtenstall railway station, hasSignalBox, yes]
-
A.
hasSignalLine
Indicates that one entity is connected to another by a signal-carrying line or path used for transmitting information or control signals.
-
B.
hasPressBox
Indicates that a venue or facility includes a designated press box area for media or press personnel.
-
C.
hasFamousSignal
Indicates that an entity is associated with a well-known or widely recognized signal, message, or indicator.
-
D.
usesSignaling
Indicates that one entity communicates or coordinates with another by emitting, transmitting, or interpreting signals.
-
E.
hasBells
Indicates that an entity possesses or is equipped with one or more bells.
- F. None of above. chosen
Provenance (4 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_69ab4955111c8190835bf619adec21ff |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd1abd3688190b5874249e1e333bc |
completed | March 7, 2026, 7:20 a.m. |
| PD | Predicate disambiguation | batch_69abd0b980b481908d4932bcea4a6167 |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd1318f7881908a8fc42943df4879 |
completed | March 7, 2026, 7:18 a.m. |
Created at: March 6, 2026, 9:45 p.m.