Triple
T34646371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palazz San Anton |
E889704
|
entity |
| Predicate | hasNameInMaltese |
P179150
|
FINISHED |
| Object | Palazz ta’ San Anton |
—
|
NE NERFINISHED |
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: Palazz ta’ San Anton | Statement: [Palazz San Anton, hasNameInMaltese, Palazz ta’ San Anton]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNameInMaltese Context triple: [Palazz San Anton, hasNameInMaltese, Palazz ta’ San Anton]
-
A.
MalteseNameOf
chosen
Indicates that one entity is the Maltese-language name or designation of another entity.
-
B.
hasNameInMalayalam
Indicates that an entity is associated with a specific name expressed in the Malayalam language.
-
C.
hasNameInSardinian
Indicates that an entity is known or referred to by a specific name in the Sardinian language.
-
D.
hasNameInMonégasque
Indicates that an entity is associated with a specific name expressed in the Monégasque language.
-
E.
hasNameInTetum
Indicates that an entity is associated with a specific name expressed in the Tetum language.
- 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_69f349d825c88190bfc6170ac9281260 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff1a972bf08190860696ffcd887c0f |
completed | May 9, 2026, 11:29 a.m. |
| PD | Predicate disambiguation | batch_69ff184005d88190bf38283ebc499b28 |
completed | May 9, 2026, 11:19 a.m. |
Created at: May 1, 2026, 2:04 a.m.