Triple
T3183941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margarita |
E66654
|
entity |
| Predicate | hasShortForm |
P43
|
FINISHED |
| Object | Marga |
E333681
|
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: Marga | Statement: [Margarita, hasShortForm, Marga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marga Context triple: [Margarita, hasShortForm, Marga]
-
A.
Marga
chosen
Marga is a feminine given name, commonly used as a short or diminutive form of names like Margarita or Margareta.
-
B.
El Marg
El Marg is a northeastern district of Cairo known for its dense residential neighborhoods and role as a gateway between the city and its surrounding suburbs.
-
C.
Silvana
Silvana is a feminine given name used in various cultures, often associated with meanings related to forests or woods.
-
D.
Bradina
Bradina is a small village in central Bosnia and Herzegovina, historically notable as the birthplace of Croatian fascist leader Ante Pavelić.
-
E.
Mella
Mella is a Spanish-language surname most notably associated with Cuban revolutionary leader Julio Antonio Mella.
- 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_69ad8587c1bc8190a2595f2c22ee1001 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada6bfc4248190af320471688c60f0 |
completed | March 8, 2026, 4:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b24b777fe881909764e2f2cdb68479 |
completed | March 12, 2026, 5:13 a.m. |
Created at: March 8, 2026, 3:06 p.m.