Triple
T35638599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ELE |
E1029789
|
entity |
| Predicate | openedAsCodeForStationOpenedInYear |
P194437
|
FINISHED |
| Object | 1864 |
—
|
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: 1864 | Statement: [ELE, openedAsCodeForStationOpenedInYear, 1864]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedAsCodeForStationOpenedInYear Context triple: [ELE, openedAsCodeForStationOpenedInYear, 1864]
-
A.
codeForStationIn
Indicates that a specific code is assigned to or used to identify a station within a particular system, network, or context.
-
B.
openedAsINDStation
Indicates that a location or facility began operation specifically as a station within the IND (Independent Subway System) network.
-
C.
openedAsCTAStation
Indicates that an entity began operation specifically as a Chicago Transit Authority (CTA) station at the time it opened.
-
D.
operatedInYear
Indicates that an entity was actively operating or functioning during a specified year.
-
E.
hasStationCode
Indicates that an entity is associated with a specific station identification code.
- 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_69f76e087bdc8190a4794bf9c0bd7634 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd6f9d600c8190acf495b7fc632e4b |
completed | May 8, 2026, 5:07 a.m. |
| PD | Predicate disambiguation | batch_69fd6e98a2948190a9f78c415ad23b8c |
completed | May 8, 2026, 5:03 a.m. |
| PDg | Predicate description generation | batch_69fd6f9a8bd881909983fe8f4cd0ba98 |
completed | May 8, 2026, 5:07 a.m. |
Created at: May 3, 2026, 4:05 p.m.