Triple
T9240001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Safi I |
E222033
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Safi |
E703989
|
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: [Safi I, givenName, Safi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Safi Context triple: [Safi I, givenName, Safi]
-
A.
Safi
Safi is a historic Moroccan port city on the Atlantic coast known for its fishing industry, ceramics, and Portuguese-era fortifications.
-
B.
Safi
chosen
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.
Khaleja
Khaleja is a 2010 Telugu-language action-comedy film starring Mahesh Babu and Anushka Shetty, known for its blend of humor, fantasy elements, and social commentary.
-
E.
Shuafat
Shuafat is a Palestinian neighborhood and refugee camp in East Jerusalem known for its dense population, complex political status, and challenging living conditions.
- 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_69ca83ee26cc81909ac624e190597d6d |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccf0a3888c8190b72d8d0b850bdfbc |
completed | April 1, 2026, 10:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d077db03048190b9c1f0812da21733 |
completed | April 4, 2026, 2:30 a.m. |
Created at: March 30, 2026, 7:30 p.m.