Triple
T5390104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sergio Vieira de Mello |
E120300
|
entity |
| Predicate | placeOfDeath |
P21
|
FINISHED |
| Object | Baghdad |
E14388
|
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: Baghdad | Statement: [Sergio Vieira de Mello, placeOfDeath, Baghdad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baghdad Context triple: [Sergio Vieira de Mello, placeOfDeath, Baghdad]
-
A.
Baghdad
chosen
Baghdad is the capital and largest city of Iraq, historically renowned as a major center of the Islamic Golden Age and a key cultural and economic hub of the Arab world.
-
B.
Mosul
Mosul is a major historic city in northern Iraq, known as a cultural and economic center on the Tigris River.
-
C.
Tikrit
Tikrit is a city in northern Iraq best known as the hometown of former president Saddam Hussein and a focal point in recent Iraqi history.
-
D.
Erbil
Erbil is the capital and largest city of the Kurdistan Region in northern Iraq, known as one of the world’s oldest continuously inhabited urban centers.
-
E.
Najaf
Najaf is a major Iraqi city revered as a holy center of Shia Islam and home to the Imam Ali Shrine.
- 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_69bd46354c648190a38b26f107010a96 |
completed | March 20, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69bd8716ae9c8190a729222a8b9eb460 |
completed | March 20, 2026, 5:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf334ac2548190ad672943ac138373 |
completed | March 22, 2026, 12:09 a.m. |
Created at: March 20, 2026, 2:04 p.m.