Triple
T23987588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Israel and Egypt |
E604979
|
entity |
| Predicate | haveEmbassiesInCapitals |
P12096
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Israel and Egypt, haveEmbassiesInCapitals, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: haveEmbassiesInCapitals Context triple: [Israel and Egypt, haveEmbassiesInCapitals, true]
-
A.
hasConsulateOfUnitedStatesIn
Indicates that a consulate of the United States is located in the specified place.
-
B.
diplomaticMissionInCity
Indicates that a diplomatic mission (such as an embassy or consulate) is located in or operates within a specific city.
-
C.
hasDiplomaticMission
chosen
Indicates that one entity maintains an official diplomatic representation, such as an embassy or mission, in the territory or jurisdiction of another entity.
-
D.
haveConsulates
Indicates that one country maintains consular offices or consulates within the territory of another country.
-
E.
governingCountryCapitalConnectedTo
Indicates that the capital city of the governing country is directly connected (e.g., via infrastructure, transport, or communication links) to the referenced location or entity.
- 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.