Triple
T34383516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Il-Port il-Kbir |
E882499
|
entity |
| Predicate | hasMalteseName |
P179150
|
FINISHED |
| Object | Il-Port il-Kbir |
E882499
|
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: Il-Port il-Kbir | Statement: [Il-Port il-Kbir, hasMalteseName, Il-Port il-Kbir]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMalteseName Context triple: [Il-Port il-Kbir, hasMalteseName, Il-Port il-Kbir]
-
A.
MalteseNameOf
chosen
Indicates that one entity is the Maltese-language name or designation of another entity.
-
B.
hasMalayName
Indicates that an entity is associated with a specific name expressed in the Malay language.
-
C.
hasEnglishName
Indicates that an entity is associated with a name expressed in the English language.
-
D.
hasNameInMonégasque
Indicates that an entity is associated with a specific name expressed in the Monégasque language.
-
E.
hasNameInLocalLanguage
Indicates that an entity is associated with a name expressed in the local or native language of a given context or region.
- 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_69f349c0219881909393bbbc1edc8161 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a01a23d8b148190ac2c8765aa9227c4 |
completed | May 11, 2026, 9:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3704b9461c8190b1469b18e388d14d |
completed | June 20, 2026, 9:23 p.m. |
| PD | Predicate disambiguation | batch_6a01a1e8bb90819096647e929bfb3db8 |
completed | May 11, 2026, 9:31 a.m. |
Created at: May 1, 2026, 1:59 a.m.