Triple
T23874089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amr ibn al-As Mosque |
E592815
|
entity |
| Predicate | isOldestMosqueIn |
P154276
|
FINISHED |
| Object | Egypt |
—
|
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: Egypt | Statement: [Amr ibn al-As Mosque, isOldestMosqueIn, Egypt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOldestMosqueIn Context triple: [Amr ibn al-As Mosque, isOldestMosqueIn, Egypt]
-
A.
isOneOfTheLargestMosquesIn
Indicates that the subject mosque ranks among the largest mosques located in the specified place or region.
-
B.
hasMosque
Indicates that one entity possesses, contains, or is the location of a mosque.
-
C.
JumaMosqueInstanceOf
Indicates that something is classified as an instance of a Juma (Friday) mosque.
-
D.
isOldestMuseumIn
Indicates that a museum is the most ancient or earliest established museum within a specified location or region.
-
E.
oneOfOldestTemplesIn
Indicates that a temple is among the oldest temples located within a specified place or region.
- 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_69e25d23a5c88190ae3999c70ca15e08 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1cbff91788190b7aabe285014b873 |
completed | April 29, 2026, 9:14 a.m. |
| PD | Predicate disambiguation | batch_69f1614a65a88190bde1efb368a151e4 |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f16e348b548190b76e50f9b611f76d |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 8:14 p.m.