Triple
T16630661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue Nile region |
E404069
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Ad-Damazin |
E721554
|
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: Ad-Damazin | Statement: [Blue Nile region, capital, Ad-Damazin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ad-Damazin Context triple: [Blue Nile region, capital, Ad-Damazin]
-
A.
Ad-Damazin
chosen
Ad-Damazin is a city in southeastern Sudan that serves as the main urban and administrative center of the Blue Nile region, near the Roseires Dam on the Blue Nile River.
-
B.
Al-Hinakiya
Al-Hinakiya is a town in western Saudi Arabia situated within the administrative boundaries of Al Madinah Province.
-
C.
Al Dafna
Al Dafna is a prominent business and commercial district in Doha, Qatar, known for its modern skyscrapers and waterfront location along the Doha Corniche.
-
D.
Ad-Dawr
Ad-Dawr is a small town in Iraq’s Salah ad Din Governorate, known for its association with senior Ba'athist figures from the Saddam Hussein era.
-
E.
Zababdeh
Zababdeh is a predominantly Christian Palestinian town in the northern West Bank known as a local religious and educational center.
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e378e5d4448190bfb1b6157bbe5285 |
completed | April 18, 2026, 12:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007dbc6cf48190879b25e66c9453db |
completed | May 10, 2026, 12:44 p.m. |
Created at: April 10, 2026, 5:17 a.m.