Triple
T16442919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gedo |
E399348
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | El Wak |
E837606
|
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: El Wak | Statement: [Gedo, containsCity, El Wak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: El Wak Context triple: [Gedo, containsCity, El Wak]
-
A.
El Wak
chosen
El Wak is a small border town in northeastern Kenya near the Somali frontier, serving as a local trading and transit hub in the arid region.
-
B.
Al Ras
Al Ras is one of Dubai’s oldest commercial districts, known for its traditional markets, historic streets, and proximity to Dubai Creek.
-
C.
Al Said
Al Said is the ruling royal family of Oman, known for its long-standing dynasty that has governed the country since the mid-18th century.
-
D.
Al Wahat
Al Wahat is a region in northeastern Libya known for its desert oases and role in the country’s oil-producing area.
-
E.
Al Twar
Al Twar is a residential and commercial locality in eastern Dubai, United Arab Emirates, known for its community facilities and proximity to major transport links.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32cd8d2988190acb5722a15623319 |
completed | April 18, 2026, 7:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00458f8f3c8190ad5eff2ad2a32dea |
completed | May 10, 2026, 8:45 a.m. |
Created at: April 10, 2026, 5:10 a.m.