Triple
T17364146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marechal (Portugal) |
E422143
|
entity |
| Predicate | label |
P38
|
FINISHED |
| Object | Marechal |
—
|
NE ONNED1 |
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: Marechal | Statement: [Marechal (Portugal), label, Marechal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marechal Context triple: [Marechal (Portugal), label, Marechal]
-
A.
Marechal
chosen
Marechal is the highest Portuguese Army rank, equivalent to a field marshal, typically reserved for wartime or exceptional command.
-
B.
Mariscal
Mariscal is a Spanish surname most notably associated with designer and illustrator Javier Mariscal, known for his influential work in graphic design and visual art.
-
C.
Senapati
Senapati was the commander-in-chief of the Maratha military forces, responsible for leading armies and overseeing warfare in the Maratha Empire.
-
D.
Colonel General
Colonel General is a high-ranking military officer rank, typically above major general and lieutenant general and just below the highest general ranks in several countries' armed forces.
-
E.
Marchal
Marchal is a fine-dining restaurant at Copenhagen’s historic Hôtel d’Angleterre, known for its elegant Nordic-French cuisine and refined atmosphere.
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a4f52988190847230e119a35b87 |
completed | April 19, 2026, 2:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01956294ec819083c1dde8fc2685e4 |
in_progress | May 11, 2026, 8:37 a.m. |
Created at: April 10, 2026, 5:44 a.m.