Triple
T14162055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OCP Group |
E350971
|
entity |
| Predicate | hasIndustrialSiteIn |
P113066
|
FINISHED |
| Object | Safi |
E467091
|
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: Safi | Statement: [OCP Group, hasIndustrialSiteIn, Safi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Safi Context triple: [OCP Group, hasIndustrialSiteIn, Safi]
-
A.
Safi
chosen
Safi is a historic Moroccan port city on the Atlantic coast known for its fishing industry, ceramics, and Portuguese-era fortifications.
-
B.
Safi
Safi is a Pashtun tribe associated with the Karlani tribal confederation in Afghanistan and Pakistan.
-
C.
Safa
Safa is a principal deity in the Uatsdin (Assian) neo-pagan religious tradition, revered within the reconstructed Ossetian pantheon.
-
D.
Saafi
Saafi is a Niger-Congo Atlantic language spoken primarily by the Saafi people of Senegal.
-
E.
Wasafi
Wasafi is a prominent Tanzanian entertainment and media brand best known for its influential presence in music, radio, and popular culture.
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de613a4a2081908fd51bf4b4d82b6c |
completed | April 14, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7f166988190a96d01fb4bd1438e |
completed | May 7, 2026, 8:37 p.m. |
Created at: April 10, 2026, 12:59 a.m.