Triple
T12923140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amarah city center |
E309173
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Amarah |
E77161
|
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: Amarah | Statement: [Amarah city center, partOf, Amarah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amarah Context triple: [Amarah city center, partOf, Amarah]
-
A.
Amarah
chosen
Amarah is a city in southeastern Iraq situated along the Tigris River and serving as the capital of Maysan Governorate.
-
B.
Ammaron
Ammaron is a prophet-historian in the Book of Mormon who safeguarded and passed on responsibility for the sacred Nephite records.
-
C.
Yaghuth
Yaghuth is a pre-Islamic Arabian deity, traditionally regarded as one of the ancient gods worshipped by Arab tribes before the advent of Islam.
-
D.
Ataroth
Ataroth is an ancient Moabite town known from biblical texts and the Mesha Stele, associated with conflicts between Israel and Moab.
-
E.
Dagonet
Dagonet is the loyal and self-sacrificing knight of the Round Table in the 2004 film "King Arthur," portrayed as a fierce warrior and close companion to Arthur and his fellow knights.
- 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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971e9576c81908eb59569af6da877 |
completed | April 10, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c0eaa3688190b399aa212e16ca08 |
completed | May 3, 2026, 3:28 a.m. |
Created at: April 9, 2026, 5:42 p.m.