Triple
T7377224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doylestown station |
E170155
|
entity |
| Predicate | lineHistoricallyPartOf |
P76655
|
FINISHED |
| Object | Reading Company main line north of Lansdale |
—
|
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: Reading Company main line north of Lansdale | Statement: [Doylestown station, lineHistoricallyPartOf, Reading Company main line north of Lansdale]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lineHistoricallyPartOf Context triple: [Doylestown station, lineHistoricallyPartOf, Reading Company main line north of Lansdale]
-
A.
historicallyPartOf
Indicates that one entity was formerly a component, region, or subdivision of another entity during a past historical period, but is not necessarily part of it in the present.
-
B.
regionHistoricalName
Indicates that a region has been known by a particular historical name during some past period.
-
C.
historicallyBorneBy
Indicates that an entity has carried, possessed, or used another entity (such as a name, title, or symbol) at some point in the past.
-
D.
lineHistorically
Indicates that a line or route has existed or operated during a specific historical period or context.
-
E.
historicallyBasedIn
Indicates that one entity is located in or associated with a place as its base of operations during a specific historical period.
- 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_69c68a5bfaac81909ce7f001dfb70c76 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1aa12888190b81e37b9fcd2adc0 |
completed | March 27, 2026, 9:07 p.m. |
| PD | Predicate disambiguation | batch_69c6f02ee3e08190a7a00c981129b22c |
completed | March 27, 2026, 9:01 p.m. |
| PDg | Predicate description generation | batch_69c6f0ebf9c88190af5a4d87d3fd338a |
completed | March 27, 2026, 9:04 p.m. |
Created at: March 27, 2026, 3:07 p.m.