Triple
T3828276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Baghdad |
E88744
|
entity |
| Predicate | isOneOfOldestModernUniversitiesIn |
P4407
|
FINISHED |
| Object | Arab world |
—
|
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: Arab world | Statement: [University of Baghdad, isOneOfOldestModernUniversitiesIn, Arab world]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOneOfOldestModernUniversitiesIn Context triple: [University of Baghdad, isOneOfOldestModernUniversitiesIn, Arab world]
-
A.
isAmongOldestUniversitiesIn
chosen
Indicates that an educational institution ranks among the oldest universities within a specified geographic or organizational context.
-
B.
oldestUniversityIn
Indicates that a university is the most ancient or earliest established institution of higher education within a specified geographic region or entity.
-
C.
oneOfOldestSchoolsIn
Indicates that the subject is among the oldest schools located in the specified place or region.
-
D.
oldestCollegeOf
Indicates that one entity is the oldest college associated with, or within, another entity (such as a university or region).
-
E.
isOldestCollegeLibraryOf
Indicates that one entity is the oldest existing college library associated with the other 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_69aed9538cf881909d9ce8ca4ac7c18c |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeeb8459f881908a2c91bb07e381ef |
completed | March 9, 2026, 3:47 p.m. |
| PD | Predicate disambiguation | batch_69aee74c2e04819094b94b3c0bac1806 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:17 p.m.