Triple
T36217256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Directoire français |
E1047732
|
entity |
| Predicate | capitale |
P160390
|
FINISHED |
| Object | Paris |
—
|
NE NERFINISHED |
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: Paris | Statement: [Directoire français, capitale, Paris]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: capitale Context triple: [Directoire français, capitale, Paris]
-
A.
capitalUnder
Indicates that one entity serves as the capital city or administrative center subordinate to, or governed by, another entity.
-
B.
capitalOfType
Indicates that one entity serves as the capital city (or administrative capital) of a specified type of political or administrative unit represented by the other entity.
-
C.
lostCapital
Indicates that an entity has ceased to be the capital of a political or administrative region.
-
D.
destinationCapitalOf
chosen
Indicates that a location serves as the capital city of the specified destination or region.
-
E.
capitalAreaOf
Indicates that a specified area value represents the total land or geographic size of the capital city of a given entity.
- 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_69f76e42c878819095c8d19c0267fb87 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fdbc5ef46c8190bbcfb9798f4615b7 |
completed | May 8, 2026, 10:35 a.m. |
| PD | Predicate disambiguation | batch_69fdbb270338819082ce3f73903e884f |
completed | May 8, 2026, 10:29 a.m. |
Created at: May 3, 2026, 4:09 p.m.