Triple
T23987572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Israel and Egypt |
E604979
|
entity |
| Predicate | landmarkVisit |
P16949
|
FINISHED |
| Object | Anwar Sadat visit to Jerusalem 1977 |
—
|
LITERAL 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: Anwar Sadat visit to Jerusalem 1977 | Statement: [Israel and Egypt, landmarkVisit, Anwar Sadat visit to Jerusalem 1977]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: landmarkVisit Context triple: [Israel and Egypt, landmarkVisit, Anwar Sadat visit to Jerusalem 1977]
-
A.
includesLandmark
Indicates that one location or area contains or encompasses a specific landmark within its boundaries.
-
B.
reputedToBeVisitedBy
Indicates that an entity is commonly believed or reported to be visited by another entity, without necessarily confirming that the visits actually occur.
-
C.
hasTouristAttractionRole
Indicates that an entity serves in the capacity or function of a tourist attraction for another entity (such as a place, organization, or area).
-
D.
isLandmarkFor
Indicates that one entity serves as a notable or significant reference point or attraction for another entity, such as a place, route, or area.
-
E.
visitedLocation
chosen
Indicates that an entity has gone to or spent time at a particular location.
- 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_69e295463f7c8190b1c19dbd114641b9 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d38838f481909a52fccd392a92df |
completed | April 29, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69f1615994c48190a5de95d3f7e5cd0a |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:36 p.m.