Triple
T22667475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sfax Governorate |
E559828
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Mahres |
—
|
NE NERFINISHED |
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: Mahres | Statement: [Sfax Governorate, contains, Mahres]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mahres Context triple: [Sfax Governorate, contains, Mahres]
-
A.
Mahres
chosen
Mahres is a coastal town in eastern Tunisia situated along the Gulf of Gabès.
-
B.
Mahser
Mahser is a character associated with youth, often depicted as embodying the traits, energy, and challenges of young people.
-
C.
Mahis
Mahis is a town in Jordan known for its scenic highland setting and proximity to the capital, Amman.
-
D.
Majesdane
Majesdane is a fictional alien planet in Marvel Comics, known as the crystalline, light-based homeworld of Karolina Dean and the Majesdanian race.
-
E.
Hartha
Hartha is a small town in the German state of Saxony, known for its location within the rural region of Mittelsachsen.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2454a158c819093b8e35f5045efb6 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1781ceca08190ba1309570e81c5af |
completed | April 29, 2026, 3:16 a.m. |
Created at: April 17, 2026, 3:09 p.m.