Triple
T14805978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carthaginian administration |
E348034
|
entity |
| Predicate | headOfGovernmentTitle |
P329
|
FINISHED |
| Object | suffete |
E348032
|
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: suffete | Statement: [Carthaginian administration, headOfGovernmentTitle, suffete]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: suffete Context triple: [Carthaginian administration, headOfGovernmentTitle, suffete]
-
A.
suffes
chosen
Suffes is the Latin term for the chief magistrates of ancient Carthage, roughly analogous to consuls in the Roman Republic.
-
B.
ute
Ute is a Numic language of the Uto-Aztecan family traditionally spoken by the Ute people of the western United States.
-
C.
Su
Su is a skilled and deadly martial artist portrayed by Jet Li in the action film "Cradle 2 the Grave."
-
D.
Su
Su is the given name of Su Rogers, a British architect and academic known for her contributions to modern architecture and design education.
-
E.
Su
Su is a Chinese surname borne by many notable historical and contemporary figures, including the Song dynasty poet and statesman Su Shi.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decf32666081908e84f985c47eb963 |
completed | April 14, 2026, 11:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24c6b3008190a0fac1dace40361a |
completed | May 8, 2026, 6 p.m. |
Created at: April 10, 2026, 1:35 a.m.