Triple
T6110612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wonderland |
E136227
|
entity |
| Predicate | openedAsTransitStation |
P68211
|
FINISHED |
| Object | 1954 |
—
|
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: 1954 | Statement: [Wonderland, openedAsTransitStation, 1954]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedAsTransitStation Context triple: [Wonderland, openedAsTransitStation, 1954]
-
A.
openedAsBusTunnelStation
Indicates that a station was originally opened for service as part of a bus tunnel system rather than as a conventional rail or metro station.
-
B.
openedAsMBTAStation
Indicates that an entity began operation specifically as an MBTA station at a particular time.
-
C.
openedAsRERStation
Indicates that a station began operation specifically as part of the RER (Réseau Express Régional) network from its opening date.
-
D.
openedAsMetrolinkStop
Indicates that a location began operation specifically as a Metrolink transit stop.
-
E.
openedAsUndergroundStation
Indicates that an entity began operation specifically as an underground railway/metro station at the time it was opened.
- 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_69c0089ea6f88190b349be53e04b4f5f |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05b84ed088190a12cdb844d743326 |
completed | March 22, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69c049f80e2081909b7d84a104cda68d |
completed | March 22, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69c04e8e3f2c8190be459ca02f9b315a |
completed | March 22, 2026, 8:18 p.m. |
Created at: March 22, 2026, 4:13 p.m.