Triple
T1717562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quartz Africa |
E37323
|
entity |
| Predicate | parentOrganization |
P254
|
FINISHED |
| Object | Quartz |
E5898
|
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: Quartz | Statement: [Quartz Africa, parentOrganization, Quartz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quartz Context triple: [Quartz Africa, parentOrganization, Quartz]
-
A.
Quartz
chosen
Quartz is a digital news outlet known for its global business journalism, data-driven reporting, and mobile-first storytelling.
-
B.
Areia
Areia is a historic colonial-era city in the Brazilian state of Paraíba, known for its preserved architecture and cultural heritage.
-
C.
Talx
Talx is a workforce solutions and employment verification company that operates as a subsidiary of the credit reporting agency Equifax.
-
D.
Aswan granite
Aswan granite is a durable, reddish granite from the Aswan region of Egypt, historically quarried for monumental architecture such as obelisks, statues, and temple elements.
-
E.
Beryl
Beryl is a given name that can be used for people of any gender, historically more common as a female name in English-speaking countries.
- 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_69a8861912dc8190931af43b4b9158a7 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa63362ba481909e08e9f6fbf00b37 |
completed | March 6, 2026, 5:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad8ae6940c81909c1ebdfb0cdef5fc |
completed | March 8, 2026, 2:42 p.m. |
Created at: March 4, 2026, 7:30 p.m.