Triple
T105495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asia |
E2127
|
entity |
| Predicate | containsMajorCity |
P316
|
FINISHED |
| Object | Tehran |
E5216
|
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: Tehran | Statement: [Asia, containsMajorCity, Tehran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tehran Context triple: [Asia, containsMajorCity, Tehran]
-
A.
Tehran
chosen
Tehran is the capital and largest city of Iran, serving as the country's political, economic, and cultural center.
-
B.
Istanbul
Istanbul is a transcontinental metropolis straddling Europe and Asia, renowned as Turkey’s cultural and economic hub and for its rich history as the former capital of the Byzantine and Ottoman Empires.
-
C.
Mecca
Mecca is the holiest city in Islam, located in present-day Saudi Arabia and home to the Kaaba, toward which Muslims around the world face in prayer and to which they undertake the Hajj pilgrimage.
-
D.
Riyadh
Riyadh is the capital and largest city of Saudi Arabia, serving as a major political, economic, and cultural center in the Arab world.
-
E.
Islamabad
Islamabad is Pakistan’s planned, modern capital city known for its high standard of living, greenery, and role as the country’s political and administrative 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_69a24e0a5b7c81908d52da08c60dabc4 |
completed | Feb. 28, 2026, 2:08 a.m. |
| NER | Named-entity recognition | batch_69a256c96e5481908c67f69e99978292 |
completed | Feb. 28, 2026, 2:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a27c030ddc8190af2ebb672237bf18 |
completed | Feb. 28, 2026, 5:24 a.m. |
Created at: Feb. 28, 2026, 2:12 a.m.