Triple
T18552642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barão (Portugal) |
E453414
|
entity |
| Predicate | socialStatusAfter1910 |
P82463
|
FINISHED |
| Object | continued as social courtesy title |
—
|
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: continued as social courtesy title | Statement: [Barão (Portugal), socialStatusAfter1910, continued as social courtesy title]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: socialStatusAfter1910 Context triple: [Barão (Portugal), socialStatusAfter1910, continued as social courtesy title]
-
A.
statusAfter1910
chosen
Indicates the status or condition of an entity as it exists after the year 1910.
-
B.
statusBefore1918
Indicates that a particular status, condition, or classification applied to an entity prior to the year 1918.
-
C.
legalStatusAfter1919
Indicates the legal status or condition of an entity as it existed after the year 1919.
-
D.
statusAfter1918
Indicates the status or condition of an entity as it existed after the year 1918.
-
E.
statusAfter1869
Indicates the status or condition an entity has at some point after the year 1869.
- 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_69d8d388b0c881908e610a1c45b52640 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e538027b94819082a4c4af66e170d7 |
completed | April 19, 2026, 8:16 p.m. |
| PD | Predicate disambiguation | batch_69e469e274a48190a570b25cfef4d890 |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:38 a.m.