Triple
T14894086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Government Center station |
E359823
|
entity |
| Predicate | closedForReconstructionFrom |
P56011
|
FINISHED |
| Object | March 22, 2014 |
—
|
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: March 22, 2014 | Statement: [Government Center station, closedForReconstructionFrom, March 22, 2014]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: closedForReconstructionFrom Context triple: [Government Center station, closedForReconstructionFrom, March 22, 2014]
-
A.
containsReconstructionOf
Indicates that one entity includes or incorporates a recreated, restored, or reconstructed version of another entity.
-
B.
reopenedAfterReconstruction
Indicates that a place or facility resumed operations after undergoing reconstruction or major rebuilding work.
-
C.
reconstructionFor
Indicates that one entity serves as a reconstruction, restoration, or rebuilt version of another entity.
-
D.
closedFor
chosen
Indicates that an entity is not available or accessible for use, entry, or operation during a specified time, condition, or reason.
-
E.
involvesReconstructionOf
Indicates that one entity includes, requires, or performs the rebuilding, restoration, or re-creation of another entity or its prior state.
- 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded5f9d10c819091732d7a5a42a682 |
completed | April 15, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69de9a4a14a88190951bb8f4c60bd37b |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:10 a.m.