Triple
T31064403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | modern Jerusalem |
E791627
|
entity |
| Predicate | hasAnnexedArea |
P32962
|
FINISHED |
| Object | East Jerusalem |
—
|
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: East Jerusalem | Statement: [modern Jerusalem, hasAnnexedArea, East Jerusalem]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAnnexedArea Context triple: [modern Jerusalem, hasAnnexedArea, East Jerusalem]
-
A.
annexedAs
Indicates that one entity has been incorporated into and made a formal part of another entity, typically losing its prior independent status.
-
B.
annexedTerritory
chosen
Indicates that one political entity has formally incorporated another territory into its own sovereign domain.
-
C.
laterAnnexedTo
Indicates that one entity was annexed by another entity at a later point in time, after its initial status or affiliation.
-
D.
annexedDuring
Indicates that one entity was formally incorporated into and brought under the control of another entity during a specified time period.
-
E.
hasAdjacentMainlandArea
Indicates that one geographic area directly borders or touches a contiguous mainland region.
- F. None of above.
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_69f224cc0c5c81908404f087bff92997 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f791cc969c8190bf187d6031a030d5 |
completed | May 3, 2026, 6:19 p.m. |
| PD | Predicate disambiguation | batch_69f791033d288190b118029fe412b9c9 |
completed | May 3, 2026, 6:16 p.m. |
Created at: April 29, 2026, 9:01 p.m.