Triple
T11494655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sheikh Jarrah |
E272502
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | French Hill |
E115704
|
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: French Hill | Statement: [Sheikh Jarrah, borderedBy, French Hill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: French Hill Context triple: [Sheikh Jarrah, borderedBy, French Hill]
-
A.
French Hill
chosen
French Hill is a residential neighborhood in northern Jerusalem known for its mixed population, proximity to major universities, and strategic location overlooking key routes into the city.
-
B.
North Hill
North Hill is one of the prominent hills in the Malvern Hills range in England, known for its scenic views and popular walking paths.
-
C.
North Hill
North Hill is a residential neighborhood and historic district within the city of New Castle, Pennsylvania.
-
D.
Brewster Hill
Brewster Hill is a small residential hamlet within the Town of Southeast in Putnam County, New York.
-
E.
Nodine Hill
Nodine Hill is a residential neighborhood in the city of Yonkers, New York, known for its hilly terrain and diverse community.
- 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_69d6aae1b09881909ce2ded3fa0c14fa |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85ddffdf88190a00e94ad5b8b91a5 |
completed | April 10, 2026, 2:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6048a05c88190968f7827c5dd5342 |
completed | April 20, 2026, 10:48 a.m. |
Created at: April 8, 2026, 9:36 p.m.