Triple
T17617594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bridgeport, California |
E429124
|
entity |
| Predicate | courthouseCompletionYear |
P127211
|
FINISHED |
| Object | 1880 |
—
|
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: 1880 | Statement: [Bridgeport, California, courthouseCompletionYear, 1880]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: courthouseCompletionYear Context triple: [Bridgeport, California, courthouseCompletionYear, 1880]
-
A.
courthouseCompletedIn
chosen
Indicates the year or date when a courthouse building was finished and became structurally complete.
-
B.
headquartersCompletionYear
Indicates the year in which an organization's headquarters building was completed.
-
C.
churchConstructionDate
Indicates the date on which a church was constructed or originally built.
-
D.
hasCourthouse
Indicates that a location or jurisdiction possesses or contains a courthouse.
-
E.
buildingUsedSince
Indicates that a particular building has been in use starting from a specified point in time.
- 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46d33a2b081908deecee773c333af |
completed | April 19, 2026, 5:50 a.m. |
| PD | Predicate disambiguation | batch_69e3cdd7da34819099bc9481c5a79bab |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 5:51 a.m.