Triple
T21075704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ladd's Addition |
E519227
|
entity |
| Predicate | transportationEra |
P50290
|
FINISHED |
| Object | streetcar era |
—
|
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: streetcar era | Statement: [Ladd's Addition, transportationEra, streetcar era]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transportationEra Context triple: [Ladd's Addition, transportationEra, streetcar era]
-
A.
historicalTransportation
Indicates that one entity served as a means or system of transportation for another in a historical context.
-
B.
targetVehicleEra
Indicates the historical time period or production era to which a referenced vehicle belongs.
-
C.
historicalTramEra
chosen
Indicates that the subject is associated with a specific historical period or era in which tram systems operated or were characteristic.
-
D.
eraOfGreatestTransportationImportance
Indicates the time period during which a transportation route, mode, or system held its highest relative significance or impact compared to other periods.
-
E.
aircraftEra
Indicates the historical time period or era during which an aircraft was designed, produced, or primarily operated.
- 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_69e0b506e59c8190849b71ed07929215 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e702d690dc8190839968b562e6b8bb |
completed | April 21, 2026, 4:53 a.m. |
| PD | Predicate disambiguation | batch_69e5dbfcd5e881908f1e4e0d2d237856 |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 2:48 p.m.