Triple
T20778962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liber AL vel Legis |
E511428
|
entity |
| Predicate | placeOfReception |
P141503
|
FINISHED |
| Object | Cairo |
—
|
NE NERFINISHED |
How this triple was built (3 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: Cairo | Statement: [Liber AL vel Legis, placeOfReception, Cairo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cairo Context triple: [Liber AL vel Legis, placeOfReception, Cairo]
-
A.
Cairo
chosen
Cairo is the capital and largest city of Egypt, a historic metropolis on the Nile renowned for its rich Islamic heritage and proximity to the ancient pyramids.
-
B.
Cairo
"Cairo" is a 1942 American musical comedy film starring Jeanette MacDonald as a reporter entangled in wartime espionage and romantic intrigue.
-
C.
Cairo
Cairo is a 2D graphics library that provides high-quality vector-based drawing capabilities for multiple output devices and backends.
-
D.
Cairo
Cairo is a 2D graphics library that provides high-quality vector-based drawing with support for multiple output backends such as image buffers, PDF, and SVG.
-
E.
Greater Cairo
Greater Cairo is Egypt’s largest metropolitan region, encompassing Cairo and its surrounding urban areas as the country’s primary political, economic, and cultural hub.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: placeOfReception Context triple: [Liber AL vel Legis, placeOfReception, Cairo]
-
A.
placeOfMajorReception
Indicates the location where a person or entity received their primary or most significant formal reception, welcome, or honor.
-
B.
hospitalLocation
Indicates the geographic place or address where a hospital is situated.
-
C.
placeOfIntendedDelivery
Indicates the location where something is planned or expected to be delivered.
-
D.
dischargeLocation
Indicates the place or facility where an entity (such as a person, object, or substance) is released, sent, or discharged to after a prior state or process.
-
E.
hospitalizedIn
Indicates that a person or patient is admitted for medical care and staying as an inpatient in a specified hospital or healthcare facility.
- F. None of above. chosen
Provenance (4 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_69e0b4cac7a48190a715cb3d545df2b4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c26ed1a08190bb73824672328d98 |
completed | April 21, 2026, 12:18 a.m. |
| PD | Predicate disambiguation | batch_69e5c0550ec481908a0877fb2409d983 |
completed | April 20, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69e5c3cbe5788190b7ace43bfdac2ef6 |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 16, 2026, 12:37 p.m.