Triple
T10274543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Idris II |
E240928
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object | Walila |
E398957
|
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: Walila | Statement: [Idris II, birthPlace, Walila]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walila Context triple: [Idris II, birthPlace, Walila]
-
A.
Walili
chosen
Walili, better known as Volubilis, is an ancient Roman and early Islamic city in present-day Morocco that served as the first capital of the Idrisid dynasty.
-
B.
Awjila
Awjila is an endangered Eastern Berber language once spoken in the oasis town of Awjila in northeastern Libya.
-
C.
El Waily
El Waily is a central urban district of Cairo, Egypt, known for its dense residential neighborhoods and mixed commercial areas.
-
D.
Wala
The Wala are an ethnic group primarily inhabiting the Upper West Region of Ghana, known for their Islamic heritage, centralized chieftaincy system, and rich traditions in trade and craftsmanship.
-
E.
Wala
Wala is an Oceanic language variety spoken in Vanuatu, recognized as one of the dialects within the Uripiv-Wala-Rano-Atchin dialect chain.
- 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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d28a9c508190824867c04e8dcbe7 |
completed | April 7, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f81b39008190af48de31de03682e |
completed | April 9, 2026, 12:51 a.m. |
Created at: April 6, 2026, 11:36 a.m.