Triple
T7533137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 11th Hussars |
E178076
|
entity |
| Predicate | battleHonour |
P12198
|
FINISHED |
| Object | Alma |
E114637
|
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: Alma | Statement: [11th Hussars, battleHonour, Alma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alma Context triple: [11th Hussars, battleHonour, Alma]
-
A.
Alma
Alma is a historic wooden scow schooner preserved as a museum ship in San Francisco, representing the city’s 19th- and early 20th-century maritime commerce.
-
B.
Alma
chosen
Alma is a historic British Army battle honour commemorating the Battle of the Alma in the Crimean War.
-
C.
Alma
Alma is a feminine given name of Latin origin meaning "nourishing" or "kind," used in various cultures around the world.
-
D.
Ellah
Ellah is a given name, typically used as a feminine variant of the name Ella.
-
E.
Nena
Nena is a German pop singer and actress best known internationally for her 1983 hit song "99 Luftballons."
- 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_69c69f2acdbc8190b5a8320168c1d0ba |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8493964819086aeddfa4872a70b |
completed | March 27, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84f03485c8190829beb95a8be0236 |
completed | March 28, 2026, 9:58 p.m. |
Created at: March 27, 2026, 3:47 p.m.