Triple
T4648215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toubkal National Park |
E102224
|
entity |
| Predicate | containsVillage |
P4011
|
FINISHED |
| Object | Imlil |
E106318
|
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: Imlil | Statement: [Toubkal National Park, containsVillage, Imlil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Imlil Context triple: [Toubkal National Park, containsVillage, Imlil]
-
A.
Imlil
chosen
Imlil is a small mountain village in Morocco’s High Atlas that serves as the main gateway for trekkers heading to Mount Toubkal.
-
B.
Yerre
The Yerre is a river in northern France that flows through the Île-de-France region before joining the Loir.
-
C.
Mvita
Mvita is an alternative name for Kimvita, a historic Swahili settlement and cultural center on the coast of present-day Kenya.
-
D.
Tamba
Tamba is a city located in Hyogo Prefecture, Japan, known for its rural landscapes, traditional pottery, and historical sites.
-
E.
Tsiribihina River
The Tsiribihina River is a significant waterway in western Madagascar known for its scenic gorges, diverse wildlife, and popular multi-day canoe and boat trips.
- 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_69bd43d71a308190afea7280841b0de8 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd62feeb6c8190a7807c37e9a6fa00 |
completed | March 20, 2026, 3:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfadfe8b4819088a5fb1565bbe94a |
completed | March 21, 2026, 1:56 a.m. |
Created at: March 20, 2026, 1:14 p.m.