Triple
T22065861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pennsylvania Railroad tracks |
E545265
|
entity |
| Predicate | standardSignalingHistorically |
P47327
|
FINISHED |
| Object | wayside signals |
—
|
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: wayside signals | Statement: [Pennsylvania Railroad tracks, standardSignalingHistorically, wayside signals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: standardSignalingHistorically Context triple: [Pennsylvania Railroad tracks, standardSignalingHistorically, wayside signals]
-
A.
historicalSignalStandard
chosen
Indicates that something conforms to or is associated with a signal standard that is no longer current and is of historical relevance.
-
B.
usesSignaling
Indicates that one entity communicates or coordinates with another by emitting, transmitting, or interpreting signals.
-
C.
estimatedHistory
Indicates that there is an inferred or approximated record of past states, events, or values associated with an entity or relationship.
-
D.
usesSignallingPractice
Indicates that one entity employs or follows a particular signalling practice in its communication or behavior.
-
E.
signaled
Indicates that one entity communicated a message, warning, or instruction to another through a deliberate signal or cue.
- 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_69e11e344dfc81909b1d88a7221329c7 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12883d2108190a6127783f8f635fc |
completed | April 28, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69e6f64a6a70819089d1a6c3a2384861 |
completed | April 21, 2026, 4 a.m. |
Created at: April 16, 2026, 8:27 p.m.