Triple
T23121727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Mars-la-Tour |
E576910
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Lorraine |
—
|
NE NERFINISHED |
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: Lorraine | Statement: [Battle of Mars-la-Tour, region, Lorraine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lorraine Context triple: [Battle of Mars-la-Tour, region, Lorraine]
-
A.
Lorraine
Lorraine is a central character in Gloria Naylor’s novel *The Women of Brewster Place*, a vulnerable and tragic figure whose experiences highlight themes of racism, sexism, and homophobia in an inner-city housing project.
-
B.
Lorraine
Lorraine is a British weekday morning television show on ITV featuring celebrity interviews, lifestyle segments, and current-affairs discussions.
-
C.
Lorraine
"Lorraine" is a song by The Jim Carroll Band, known for its raw, narrative-driven lyrics and punk-influenced rock sound.
-
D.
Lorraine
Lorraine is a feminine given name of French origin, historically associated with the region of Lorraine in northeastern France and borne by notable figures such as playwright Lorraine Hansberry.
-
E.
Lorraine
Lorraine is a suburban town in the Laurentides region of Quebec, Canada, known for its residential character and proximity to the Rivière des Mille Îles.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lorraine Target entity description: Lorraine is a historical and cultural region in northeastern France, bordering Germany, Luxembourg, and Belgium, known for its strategic location and contested past.
-
A.
Lorraine
chosen
Lorraine is a historical and cultural region in northeastern France known for its strategic location bordering Luxembourg, Germany, and Belgium, and for its mixed French-German heritage.
-
B.
Lorraine
Lorraine is a feminine given name of French origin, historically associated with the region of Lorraine in northeastern France and borne by notable figures such as playwright Lorraine Hansberry.
-
C.
Lorraine
Lorraine is a suburban town in the Laurentides region of Quebec, Canada, known for its residential character and proximity to the Rivière des Mille Îles.
-
D.
Lorraine
Lorraine is a central character in Gloria Naylor’s novel *The Women of Brewster Place*, a vulnerable and tragic figure whose experiences highlight themes of racism, sexism, and homophobia in an inner-city housing project.
-
E.
Lorraine
Lorraine is a British weekday morning television show on ITV featuring celebrity interviews, lifestyle segments, and current-affairs discussions.
- F. None of above.
Provenance (2 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_69e245f6c2e881909a228fdcfeb7c7d3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e50c500819095d59aef44388153 |
completed | April 29, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:59 p.m.