Triple
T544174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tigris |
E12695
|
entity |
| Predicate | passesThroughCity |
P416
|
FINISHED |
| Object | Basra |
E50045
|
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: Basra | Statement: [Tigris, passesThroughCity, Basra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Basra Context triple: [Tigris, passesThroughCity, Basra]
-
A.
Basra
chosen
Basra is a historic port city in southern Iraq, strategically located near the Persian Gulf and long significant as a commercial and cultural hub of the region.
-
B.
Najaf
Najaf is a major Iraqi city revered as a holy center of Shia Islam and home to the Imam Ali Shrine.
-
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.
Baghdad
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.
-
E.
Sulaymaniyah
Sulaymaniyah is a major city in the Kurdistan Region of Iraq, known as a cultural and economic center with a diverse linguistic landscape.
- 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_69a49334226c81908b0ea1689ef6aa3f |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a498dea88881908a938fe8f2313bec |
completed | March 1, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4efcc641c8190b9538069fa88db94 |
completed | March 2, 2026, 2:02 a.m. |
Created at: March 1, 2026, 7:32 p.m.