Triple
T4138897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muslim Quarter |
E89223
|
entity |
| Predicate | hasStreet |
P959
|
FINISHED |
| Object | Al-Wad Road |
E414621
|
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: Al-Wad Road | Statement: [Muslim Quarter, hasStreet, Al-Wad Road]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al-Wad Road Context triple: [Muslim Quarter, hasStreet, Al-Wad Road]
-
A.
Sheikh Zayed Road
Sheikh Zayed Road is Dubai’s main multi-lane highway and commercial artery, lined with skyscrapers and connecting key districts across the city and beyond.
-
B.
Sinan Road
Sinan Road is a historic, tree-lined street in Shanghai known for its well-preserved early 20th-century architecture and cultural landmarks.
-
C.
King Faisal Highway
King Faisal Highway is a major coastal expressway in Manama, Bahrain, serving as a key artery connecting the city’s central business district and prominent developments along the waterfront.
-
D.
Bağdat Avenue
Bağdat Avenue is a major upscale shopping and residential boulevard on Istanbul’s Asian side, known for its luxury boutiques, cafes, and vibrant street life.
-
E.
El-Wad Street
chosen
El-Wad Street is one of the main thoroughfares in Jerusalem’s Old City, running through the Muslim Quarter and serving as a bustling commercial and pilgrimage route.
- 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_69aed95785788190ae75bcf0cd1cafdf |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af02485a788190ba6ee769e663b2d3 |
completed | March 9, 2026, 5:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f2e787881908a9721877b0fd4ae |
completed | March 14, 2026, 3:30 p.m. |
Created at: March 9, 2026, 3:43 p.m.