Triple
T164756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pennsylvania Railroad |
E2987
|
entity |
| Predicate | peakStatus |
P5554
|
FINISHED |
| Object | one of the largest railroads in the United States |
—
|
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: one of the largest railroads in the United States | Statement: [Pennsylvania Railroad, peakStatus, one of the largest railroads in the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakStatus Context triple: [Pennsylvania Railroad, peakStatus, one of the largest railroads in the United States]
-
A.
status
Indicates the current condition, state, or standing of an entity within a given context.
-
B.
deFactoStatus
Indicates that one entity holds a role, position, or status in practice or by custom, even if it is not formally or legally recognized.
-
C.
parentPeak
Indicates that one peak is the higher or primary peak to which another, subordinate peak is topographically related.
-
D.
peakPopularity
Indicates the time or context in which something reaches its highest level of popularity relative to other times or contexts.
-
E.
titleStatus
Indicates the current legal or administrative state of a title (such as ownership, validity, or processing stage) in relation to an entity or record.
- 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_69a2524ce1e48190ab066bf72859f474 |
completed | Feb. 28, 2026, 2:26 a.m. |
| NER | Named-entity recognition | batch_69a258827da481909b20ea5e9d21676f |
completed | Feb. 28, 2026, 2:52 a.m. |
| PD | Predicate disambiguation | batch_69a2566392208190a538ea9aa1fac53e |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a257101060819094db0f3a3a72f312 |
completed | Feb. 28, 2026, 2:46 a.m. |
Created at: Feb. 28, 2026, 2:34 a.m.