Triple
T1473041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mit Rahina |
E27178
|
entity |
| Predicate | hasArabicName |
P6450
|
FINISHED |
| Object |
ميت رهينة
ميت رهينة هي قرية مصرية تقع بالقرب من مدينة الجيزة وتشتهر بكونها موقع مدينة منف الفرعونية القديمة وما تضمّه من آثار ومتحف مفتوح.
|
E169410
|
NE FINISHED |
How this triple was built (4 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: ميت رهينة | Statement: [Mit Rahina, hasArabicName, ميت رهينة]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ميت رهينة Context triple: [Mit Rahina, hasArabicName, ميت رهينة]
-
A.
Michael Cage
Michael Cage is a former American professional basketball player and dominant rebounder who starred in college before enjoying a long NBA career primarily in the 1980s and 1990s.
-
B.
Prisoner
"Prisoner" is a dance-pop and R&B song by Mariah Carey from her 1990 self-titled debut album, showcasing her early blend of pop sensibilities with hip-hop influences.
-
C.
Mort
Mort is a comic fantasy novel in Terry Pratchett’s Discworld series that follows a young apprentice to Death himself.
-
D.
Dayman
Dayman is a fictional heroic persona from "It's Always Sunny in Philadelphia," featured in the show's satirical musical storyline.
-
E.
Figan
Figan is an individual known primarily through their familial relationship as the child of Flo.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: ميت رهينة Triple: [Mit Rahina, hasArabicName, ميت رهينة]
Generated description
ميت رهينة هي قرية مصرية تقع بالقرب من مدينة الجيزة وتشتهر بكونها موقع مدينة منف الفرعونية القديمة وما تضمّه من آثار ومتحف مفتوح.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ميت رهينة Target entity description: ميت رهينة هي قرية مصرية تقع بالقرب من مدينة الجيزة وتشتهر بكونها موقع مدينة منف الفرعونية القديمة وما تضمّه من آثار ومتحف مفتوح.
-
A.
Michael Cage
Michael Cage is a former American professional basketball player and dominant rebounder who starred in college before enjoying a long NBA career primarily in the 1980s and 1990s.
-
B.
Prisoner
"Prisoner" is a dance-pop and R&B song by Mariah Carey from her 1990 self-titled debut album, showcasing her early blend of pop sensibilities with hip-hop influences.
-
C.
Mort
Mort is a comic fantasy novel in Terry Pratchett’s Discworld series that follows a young apprentice to Death himself.
-
D.
Dayman
Dayman is a fictional heroic persona from "It's Always Sunny in Philadelphia," featured in the show's satirical musical storyline.
-
E.
Figan
Figan is an individual known primarily through their familial relationship as the child of Flo.
- F. None of above. chosen
Provenance (5 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_69a496d25d6881909dbd84f86d763992 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c5dc90e481908a4935f266bc7850 |
completed | March 1, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad15a98b4c819082bd7aa8e0c82de9 |
completed | March 8, 2026, 6:22 a.m. |
| NEDg | Description generation | batch_69ad179d00b08190b3c72108317d3aad |
completed | March 8, 2026, 6:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad18adfd6481908b72e23d1edf8645 |
completed | March 8, 2026, 6:35 a.m. |
Created at: March 1, 2026, 8:01 p.m.