Triple
T9664122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ahmed Qurei |
E233659
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Qurei |
E233659
|
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: Qurei | Statement: [Ahmed Qurei, familyName, Qurei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Qurei Context triple: [Ahmed Qurei, familyName, Qurei]
-
A.
Qurei
chosen
Qurei is the surname of Ahmed Qurei, a prominent Palestinian politician and former Prime Minister of the Palestinian National Authority.
-
B.
Shumshu
Shumshu is a small, strategically significant volcanic island at the northern end of the Kuril Islands chain, near the Kamchatka Peninsula.
-
C.
Kuqa
Kuqa is an ancient oasis city in China’s Xinjiang region that historically served as a key Buddhist and Silk Road cultural center in the Tarim Basin.
-
D.
Qanjobal
Qanjobal is a Mayan language spoken primarily by the Qʼanjobʼal people in the highlands of Guatemala.
-
E.
Oukaimeden
Oukaimeden is a popular ski resort and mountain destination in the High Atlas Mountains of Morocco, known for its winter sports and scenic alpine landscapes.
- 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_69ca848d3b6c8190ae98ea554dea58df |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9c0e1ef481909c50a4ba5fd94583 |
completed | April 1, 2026, 10:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18a17eea08190825404b01b0e8d96 |
completed | April 4, 2026, 10 p.m. |
Created at: March 30, 2026, 8:14 p.m.