Triple
T34229482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MUHBA |
E878150
|
entity |
| Predicate | hasNetworkOfSites |
P171231
|
FINISHED |
| Object | multiple museum sites across Barcelona |
—
|
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: multiple museum sites across Barcelona | Statement: [MUHBA, hasNetworkOfSites, multiple museum sites across Barcelona]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNetworkOfSites Context triple: [MUHBA, hasNetworkOfSites, multiple museum sites across Barcelona]
-
A.
isNetworkOf
chosen
Indicates that one entity functions as a network that connects, supports, or encompasses another entity or set of entities.
-
B.
hasNetworkOfOrigin
Indicates that an entity originates from, or is primarily associated with, a particular network or source network.
-
C.
numberOfSites
Indicates the total count of distinct sites associated with or involved in the given entity or context.
-
D.
hasMemorySites
Indicates that an entity is associated with one or more specific locations where memories or memory-related information are stored or maintained.
-
E.
hasCentralSite
Indicates that an entity possesses or is associated with a primary or main site that serves as its central location or hub.
- 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_69f349b16d0481908754e3069f05e0c1 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ffb82be8148190a1c870d467a28c80 |
completed | May 9, 2026, 10:41 p.m. |
| PD | Predicate disambiguation | batch_69ffb7bbd550819094052e9a0d0ae320 |
completed | May 9, 2026, 10:39 p.m. |
Created at: May 1, 2026, 1:56 a.m.