Triple
T20556623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tacoma Union Station |
E504735
|
entity |
| Predicate | convertedToCourthouse |
P140547
|
FINISHED |
| Object | 1990s |
—
|
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: 1990s | Statement: [Tacoma Union Station, convertedToCourthouse, 1990s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: convertedToCourthouse Context triple: [Tacoma Union Station, convertedToCourthouse, 1990s]
-
A.
confirmedToCourtOn
Indicates that an entity has formally provided confirmation or testimony to a court regarding another entity or matter.
-
B.
hasCourthouse
Indicates that a location or jurisdiction possesses or contains a courthouse.
-
C.
requestedFromCourt
Indicates that a party has formally asked a court to take a specific action or provide a particular ruling or document.
-
D.
destinationCourt
Indicates the court or judicial body to which a case, appeal, or legal matter is directed or transferred.
-
E.
movedCourtFrom
Indicates that an entity changed its legal venue or jurisdiction from one court to another.
- 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_69e0b4b6587c8190aee63dc7cff244ea |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a5de9c008190b8620628fb285e90 |
completed | April 20, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69e59ff0116c8190a163ff28ed01430a |
completed | April 20, 2026, 3:39 a.m. |
| PDg | Predicate description generation | batch_69e5a6a824748190bbe6192d73f3c613 |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 16, 2026, 11:38 a.m.