Triple
T24306879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Afternoon Hiawatha |
E612558
|
entity |
| Predicate | operatingRailroadHeadquarters |
P22571
|
FINISHED |
| Object | Chicago, Illinois |
—
|
NE NERFINISHED |
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: Chicago, Illinois | Statement: [Afternoon Hiawatha, operatingRailroadHeadquarters, Chicago, Illinois]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatingRailroadHeadquarters Context triple: [Afternoon Hiawatha, operatingRailroadHeadquarters, Chicago, Illinois]
-
A.
headquartersRailroadCity
Indicates that a railroad company has its main headquarters located in a particular city.
-
B.
hasRailwayHeadquarters
chosen
Indicates that a railway organization or system has its main administrative or operational headquarters located at a specified place.
-
C.
railwayDivisionHeadquartersOf
Indicates that one location serves as the administrative headquarters for a specified railway division.
-
D.
railwayZoneHeadquartersFor
Indicates that a location serves as the administrative headquarters for a particular railway zone.
-
E.
serviceBranchHeadquarters
Indicates the location that serves as the main headquarters for a particular military or service branch.
- 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_69e2d7d91bb48190bc5377d17a85fb21 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f292272af88190b9c23615adbac911 |
completed | April 29, 2026, 11:20 p.m. |
| PD | Predicate disambiguation | batch_69f1c45c6ec081908401b69424428100 |
completed | April 29, 2026, 8:42 a.m. |
Created at: April 18, 2026, 1:31 a.m.