Triple
T26266473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harvard Square station |
E656995
|
entity |
| Predicate | openedAsCurrentSubwayStation |
P32499
|
FINISHED |
| Object | 1980s |
—
|
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: 1980s | Statement: [Harvard Square station, openedAsCurrentSubwayStation, 1980s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedAsCurrentSubwayStation Context triple: [Harvard Square station, openedAsCurrentSubwayStation, 1980s]
-
A.
openedAsUndergroundStation
Indicates that an entity began operation specifically as an underground railway/metro station at the time it was opened.
-
B.
openedAsSubway
Indicates that a transportation facility or line originally began operation specifically as a subway service.
-
C.
openedAsNYCSubwayStation
Indicates that an entity began operation specifically as a New York City Subway station at the time it opened.
-
D.
openedAsMBTAStation
chosen
Indicates that an entity began operation specifically as an MBTA station at a particular time.
-
E.
openedAsTransitwayStation
Indicates that a station was inaugurated specifically for use as a transitway station.
- 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_69ee5b4e21bc819082be98bc9ab09796 |
completed | April 26, 2026, 6:37 p.m. |
| NER | Named-entity recognition | batch_69f6691f5e188190b12c7b2eb729a45e |
completed | May 2, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69f66598d6008190a7ca8ff80399fd34 |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 26, 2026, 9:11 p.m.