Triple
T1133908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tegucigalpa |
E23093
|
entity |
| Predicate | capitalSinceYear |
P20518
|
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: [Tegucigalpa, capitalSinceYear, 1880]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: capitalSinceYear Context triple: [Tegucigalpa, capitalSinceYear, 1880]
-
A.
capitalFromYear
chosen
Indicates that a location serves as the capital of a political or administrative entity starting from a specified year.
-
B.
capitalDuringEra
Indicates that a city or settlement served as the capital of a political entity during a specified historical era or time period.
-
C.
capitalRenamedFrom
Indicates that a capital city previously had a different name, specifying the former name from which it was renamed.
-
D.
nationalisationYear
Indicates the year in which an entity was taken into state ownership or control through nationalisation.
-
E.
capitalRenamedTo
Indicates that a place’s status or name as a capital city has been changed to a new capital designation or name.
- 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_69a493ec75988190b63a11bafaec29b4 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bde18d208190848c189b2b8d585f |
completed | March 1, 2026, 10:29 p.m. |
| PD | Predicate disambiguation | batch_69a4bb4b52d48190bec2e7ad1cc8efc0 |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:44 p.m.