Triple
T32396952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of the Aegean |
E827835
|
entity |
| Predicate | hasRectorateSeat |
P44971
|
FINISHED |
| Object | Mytilene |
E71681
|
NE 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: Mytilene | Statement: [University of the Aegean, hasRectorateSeat, Mytilene]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRectorateSeat Context triple: [University of the Aegean, hasRectorateSeat, Mytilene]
-
A.
hasRectorate
chosen
Indicates that an institution or organization possesses or is governed by a rectorate (a rector’s administrative office or governing body).
-
B.
hasRectorateBuilding
Indicates that an institution possesses or is associated with a specific building that houses its rectorate (central administrative leadership).
-
C.
hasSeatOfAdministration
Indicates that an administrative body or jurisdiction has a specific place or location that serves as its central seat of governance or administration.
-
D.
hasMunicipalLeaderSeat
Indicates that a specific location serves as the official seat or office location of a municipal leader (e.g., mayor) for a municipality.
-
E.
countryOfSeat
Indicates the country in which an organization’s official seat, headquarters, or principal office is located.
- F. None of above.
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_69f34919342c8190a4c3bf35a90d4e58 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a0226c8b2f881909de3c1a5ba40fc49 |
completed | May 11, 2026, 6:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a347043419481909870a7a572c3549e |
completed | June 18, 2026, 10:25 p.m. |
| PD | Predicate disambiguation | batch_6a0225602acc8190978ab4aacc615b8d |
completed | May 11, 2026, 6:52 p.m. |
Created at: May 1, 2026, 12:52 a.m.