Triple
T14510208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giardino Village |
E340375
|
entity |
| Predicate | partOfUrbanArea |
P294
|
FINISHED |
| Object | Greater Doha |
E12693
|
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: Greater Doha | Statement: [Giardino Village, partOfUrbanArea, Greater Doha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greater Doha Context triple: [Giardino Village, partOfUrbanArea, Greater Doha]
-
A.
Al-Doha
Al-Doha is a Palestinian town located in the Bethlehem Governorate of the West Bank.
-
B.
Doha district
Doha district is an urban administrative area within Kuwait’s capital region, forming part of the metropolitan core of Kuwait City.
-
C.
Doha District
Doha District is an administrative area centered on Qatar’s capital city, serving as the country’s primary political, economic, and cultural hub.
-
D.
Al Wakrah
Al Wakrah is a coastal city in southeastern Qatar known for its historic fishing and pearling heritage and as the site of the modern Al Janoub Stadium.
-
E.
Doha
chosen
Doha is the rapidly developing capital and largest city of Qatar, known for its modern skyline, cultural institutions, and role as a major political and economic center in the Arab world.
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de94e5b7b48190878be271840c265b |
completed | April 14, 2026, 7:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0cd6c0dc8190847a887ae51c6c5b |
completed | May 8, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:21 a.m.