Triple
T127414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Free French Forces |
E2579
|
entity |
| Predicate | recruitedFrom |
P4145
|
FINISHED |
| Object | metropolitan France |
E861
|
NE FINISHED |
How this triple was built (3 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: metropolitan France | Statement: [Free French Forces, recruitedFrom, metropolitan France]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: metropolitan France Context triple: [Free French Forces, recruitedFrom, metropolitan France]
-
A.
Île-de-France region
Île-de-France is the most populous and economically significant region of France, encompassing Paris and its surrounding metropolitan area.
-
B.
eastern France
Eastern France is the region of France bordering countries like Germany, Switzerland, and Belgium, historically significant as a strategic frontier and site of major fortifications and conflicts.
-
C.
Auvergne-Rhône-Alpes region
The Auvergne-Rhône-Alpes region is a large administrative region in east-central France known for its major cities like Lyon and Grenoble, diverse landscapes from the Alps to volcanic highlands, and strong industrial and agricultural economy.
-
D.
France
chosen
France is a major Western European nation known for its influential history, culture, and economy, and as a founding member of the European Union and the United Nations.
-
E.
Vichy
Vichy is a spa town in central France renowned for its thermal springs, health resorts, and role as the seat of the World War II Vichy regime.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recruitedFrom Context triple: [Free French Forces, recruitedFrom, metropolitan France]
-
A.
recruitmentFrom
chosen
Indicates that one entity recruits or sources members, employees, or participants from another entity.
-
B.
recruitmentBase
Indicates the foundational source, location, or context from which recruitment efforts or recruited entities originate.
-
C.
transmittedFrom
Indicates that something (such as information, a signal, or a disease) has been passed or conveyed from one source entity to another.
-
D.
recruitmentPolicy
Indicates the rules, criteria, and procedures an organization follows when attracting, selecting, and hiring candidates.
-
E.
emergedFrom
Indicates that one entity originated, arose, or came forth from another entity or source.
- F. None of above.
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_69a2520c0f3481908b0ed054a2fca8d0 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a25761e9248190a7205bfc36cb5c45 |
completed | Feb. 28, 2026, 2:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a29e4aeab48190bf2d140956278a42 |
completed | Feb. 28, 2026, 7:50 a.m. |
| PD | Predicate disambiguation | batch_69a2564c11208190ad25495609d94d87 |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:30 a.m.