Triple
T1989760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harar Jugol |
E43224
|
entity |
| Predicate | wallConstructionCentury |
P6333
|
FINISHED |
| Object | 16th century |
—
|
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: 16th century | Statement: [Harar Jugol, wallConstructionCentury, 16th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wallConstructionCentury Context triple: [Harar Jugol, wallConstructionCentury, 16th century]
-
A.
constructionCentury
chosen
Indicates the century during which something was constructed or built.
-
B.
rebuiltInCentury
Indicates that an existing structure or entity was reconstructed or significantly rebuilt during a specified century.
-
C.
originalBuildingDemolishedInCentury
Indicates that the original building was demolished at some point during the specified century.
-
D.
partiallyRebuiltInCentury
Indicates that an entity underwent partial reconstruction or significant repair during the specified century.
-
E.
partiallyDemolishedInCentury
Indicates that an entity was only partly demolished during a specified century, rather than being completely destroyed.
- 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_69a88714cf2c819081644be450b8356e |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8ee02dc81908fec9fd8df7a4f40 |
completed | March 7, 2026, 5:34 a.m. |
| PD | Predicate disambiguation | batch_69abb79ad6888190be99943a9c73cf3e |
completed | March 7, 2026, 5:28 a.m. |
Created at: March 4, 2026, 7:37 p.m.