Triple
T34773028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | fortifications of La Rochelle |
E1002417
|
entity |
| Predicate | cityControlledBy |
P48504
|
FINISHED |
| Object | Kingdom of France |
—
|
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: Kingdom of France | Statement: [fortifications of La Rochelle, cityControlledBy, Kingdom of France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityControlledBy Context triple: [fortifications of La Rochelle, cityControlledBy, Kingdom of France]
-
A.
townControlled
chosen
Indicates that one entity has governing authority or administrative control over a town.
-
B.
planetAdministered
Indicates that one entity has governing or administrative authority over a planet.
-
C.
hasDeFactoControlBy
Indicates that one entity effectively exercises practical or informal control over another, regardless of formal or legal authority.
-
D.
teamCityControlled
Indicates that a particular team has control or authority over a given city.
-
E.
cityOwned
Indicates that something is owned, managed, or under the jurisdiction of a city or municipal government.
- 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_69f76db30a108190bb57ca95b873e5bb |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77ffa6b68819090257fed3802c239 |
completed | May 3, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69f7795978c481909e152cd1bd02dd07 |
completed | May 3, 2026, 4:35 p.m. |
Created at: May 3, 2026, 3:59 p.m.