Triple
T21890544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lisa Halaby |
E540529
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Amman, Jordan |
—
|
NE NERFINISHED |
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: Amman, Jordan | Statement: [Lisa Halaby, residence, Amman, Jordan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amman, Jordan Context triple: [Lisa Halaby, residence, Amman, Jordan]
-
A.
Amman
chosen
Amman is the capital and largest city of Jordan, serving as a major political, economic, and cultural center in the Arab world.
-
B.
Amman
Amman is a revered Hindu mother goddess figure, widely worshipped in South India as a protective and benevolent divine mother.
-
C.
Ma’an
Ma’an is a major city in southern Jordan that serves as an important regional hub and gateway to nearby desert and archaeological sites.
-
D.
Dhiban, Jordan
Dhiban, Jordan is an archaeological town in central Jordan best known as the ancient Moabite city of Dibon, where the famous Mesha Stele was discovered.
-
E.
Irbid
Irbid is a large city in northern Jordan known as an important economic, educational, and cultural center.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c47a95908190ae3e19b716accb3d |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f11fc2124c8190a79cf115a1d30283 |
completed | April 28, 2026, 8:59 p.m. |
Created at: April 16, 2026, 7:06 p.m.