Triple
T6314437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erie Lackawanna Railway |
E141579
|
entity |
| Predicate | gainedReputationFor |
P38276
|
FINISHED |
| Object | fast freight service |
—
|
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: fast freight service | Statement: [Erie Lackawanna Railway, gainedReputationFor, fast freight service]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gainedReputationFor Context triple: [Erie Lackawanna Railway, gainedReputationFor, fast freight service]
-
A.
gainedBy
Indicates that something comes to possess, obtain, or receive something else as a result of an action, process, or event.
-
B.
hasReputationAmong
Indicates that an entity is regarded or perceived in a particular way by a specified group or audience.
-
C.
creditedFor
Indicates that one entity is acknowledged as the source, contributor, or originator responsible for another entity (such as a work, achievement, or outcome).
-
D.
laterReputation
Indicates that an entity’s reputation or status at a later time is being referred to in relation to an earlier point or context.
-
E.
hasNotableReputation
chosen
Indicates that an entity is widely recognized or distinguished for a particular quality, achievement, or characteristic.
- 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_69c008d13b8c8190be47d896eb735605 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064a197488190946c4637b3c829a5 |
completed | March 22, 2026, 9:52 p.m. |
| PD | Predicate disambiguation | batch_69c060e5efc48190861b8266e5b0cc0c |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:28 p.m.