Triple
T24737698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vallianeio Megaro |
E618460
|
entity |
| Predicate | usedToHouse |
P157069
|
FINISHED |
| Object | collections of the National Library of Greece |
—
|
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: collections of the National Library of Greece | Statement: [Vallianeio Megaro, usedToHouse, collections of the National Library of Greece]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedToHouse Context triple: [Vallianeio Megaro, usedToHouse, collections of the National Library of Greece]
-
A.
usedByHouse
Indicates that something is utilized or employed by a particular house.
-
B.
houseUse
Indicates how a house or dwelling is used or purposed (e.g., residential, commercial, mixed-use).
-
C.
usesDwelling
Indicates that an entity occupies or makes use of a particular dwelling as a place of residence or activity.
-
D.
usedAsHomeFrom
Indicates that something served as a home or dwelling for a specified entity starting from a particular point in time.
-
E.
usedAsHomeUntil
Indicates that something served as a home for an entity up to a specified end time or event.
- 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_69e2fab8f95c81908bb9e552cf3280c2 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f410a25ab88190a72db43043c1f6ff |
completed | May 1, 2026, 2:32 a.m. |
| PD | Predicate disambiguation | batch_69f40ef612c88190ab2f3f08d4a92018 |
completed | May 1, 2026, 2:24 a.m. |
| PDg | Predicate description generation | batch_69f410a001788190a457e41f53aaf90c |
completed | May 1, 2026, 2:32 a.m. |
Created at: April 18, 2026, 4:04 a.m.