Triple
T3674454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | André Maginot |
E77955
|
entity |
| Predicate | hasSurname |
P18
|
FINISHED |
| Object | Maginot |
E77955
|
NE 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: Maginot | Statement: [André Maginot, hasSurname, Maginot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maginot Context triple: [André Maginot, hasSurname, Maginot]
-
A.
Maginot
chosen
Maginot is a French surname most famously associated with André Maginot, the politician after whom the Maginot Line fortifications were named.
-
B.
Maginot Line
The Maginot Line was a vast system of French defensive fortifications built along the country’s eastern border before World War II, intended to deter a German invasion.
-
C.
Barrage Vauban
Barrage Vauban is a historic 17th-century defensive weir and bridge in Strasbourg, France, known for its panoramic views over the city and its role in the former fortifications.
-
D.
Messidor
Messidor is the tenth month of the French Republican Calendar, corresponding roughly to late June and most of July, whose name evokes the harvest.
-
E.
Siegfried Line
The Siegfried Line was a massive German defensive fortification system along its western border, heavily fortified with bunkers, tank traps, and artillery positions during the World Wars.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ad85e083008190b2e1b7085fe500bd |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc45fbd1c819099023791452f1beb |
completed | March 8, 2026, 6:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b48854a2308190ba6a9fc39929b35c |
completed | March 13, 2026, 9:57 p.m. |
Created at: March 8, 2026, 3:25 p.m.