Triple
T3331858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | suffete of Carthage |
E70049
|
entity |
| Predicate | officeHolderTitleInPunic |
P47962
|
FINISHED |
| Object | špṭ |
—
|
LITERAL 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: špṭ | Statement: [suffete of Carthage, officeHolderTitleInPunic, špṭ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeHolderTitleInPunic Context triple: [suffete of Carthage, officeHolderTitleInPunic, špṭ]
-
A.
officeHolderTitle
Indicates the official position or title held by a person in an office or role.
-
B.
officeHolderOf
Indicates that a person holds or has held an official position or role within a specified organization, institution, or office.
-
C.
politicalChiefTitle
Indicates the official title held by the leading political authority of a given entity or jurisdiction.
-
D.
officeHolderTitleInFilipino
Indicates the official title or designation of an office holder expressed in the Filipino language.
-
E.
officeHolderTitleInPortuguese
Indicates the official title or designation of an office holder as expressed in the Portuguese language.
- F. None of above. chosen
Provenance (4 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_69ad85a24f208190bcf83131bfed3521 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb19358e48190a503af01b92273a4 |
completed | March 8, 2026, 5:27 p.m. |
| PD | Predicate disambiguation | batch_69ada42c2ba8819091136805ce17b39d |
completed | March 8, 2026, 4:30 p.m. |
| PDg | Predicate description generation | batch_69adaa518ac88190b64f949ace018ab7 |
completed | March 8, 2026, 4:56 p.m. |
Created at: March 8, 2026, 3:12 p.m.