Triple
T12413534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tugu Pahlawan |
E296577
|
entity |
| Predicate | hasMuseumExhibit |
P4908
|
FINISHED |
| Object | artifacts from the Battle of Surabaya |
—
|
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: artifacts from the Battle of Surabaya | Statement: [Tugu Pahlawan, hasMuseumExhibit, artifacts from the Battle of Surabaya]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMuseumExhibit Context triple: [Tugu Pahlawan, hasMuseumExhibit, artifacts from the Battle of Surabaya]
-
A.
hasExhibits
chosen
Indicates that an entity (such as a museum, gallery, or event) displays or presents certain items, artworks, or objects as part of its collection or show.
-
B.
hasMuseumComponent
Indicates that something includes, contains, or is composed of a museum or museum-related part as one of its components.
-
C.
hasMuseumFunction
Indicates that an entity serves the role or performs the function of a museum.
-
D.
hasExhibition
Indicates that an entity organizes, hosts, or presents a particular exhibition.
-
E.
hasExhibitsFrom
Indicates a relationship where one entity (typically a venue or collection) includes or displays exhibits originating from another entity (such as an artist, institution, or location).
- 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94e1888b48190bd750f839a26e99e |
completed | April 10, 2026, 7:23 p.m. |
| PD | Predicate disambiguation | batch_69d94d354b488190adc83fb4f2770dd5 |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:55 p.m.