Triple
T7657660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Treaty of Tafna (1837) |
E173426
|
entity |
| Predicate | reservedToFrance |
P78589
|
FINISHED |
| Object | coastal cities of Algeria |
—
|
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: coastal cities of Algeria | Statement: [Treaty of Tafna (1837), reservedToFrance, coastal cities of Algeria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reservedToFrance Context triple: [Treaty of Tafna (1837), reservedToFrance, coastal cities of Algeria]
-
A.
resultForFrance
Indicates the outcome or result of an event, action, or process specifically as it pertains to France.
-
B.
locatedInMetropolitanFrance
Indicates that the subject is geographically situated within the territory of metropolitan (continental) France.
-
C.
statusInFrance
Indicates the legal, social, or official standing or condition that an entity has within the jurisdiction of France.
-
D.
capsForFrance
Indicates that an individual has made official playing appearances (caps) for the France national team.
-
E.
significanceForFrance
Indicates that something holds particular importance, impact, or relevance specifically in the context of France.
- F. None of above. chosen
Provenance (4 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_69c69955517c819085bc715b96d304d2 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7061cbc3c8190a917dd7e71214182 |
completed | March 27, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69c7015dd8fc8190bc5f52a12bd46209 |
completed | March 27, 2026, 10:14 p.m. |
| PDg | Predicate description generation | batch_69c7061b218c81909fff789ba4c10e58 |
completed | March 27, 2026, 10:35 p.m. |
Created at: March 27, 2026, 3:59 p.m.