Triple
T9951418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The President’s Office |
E195338
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Malé |
E159965
|
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: Malé | Statement: [The President’s Office, location, Malé]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malé Context triple: [The President’s Office, location, Malé]
-
A.
Malé
chosen
Malé is the densely populated island city that serves as the political, economic, and cultural center of the Maldives.
-
B.
Малка
Малка — это река на Северном Кавказе в России, являющаяся правым притоком Терека и протекающая по территории Кабардино-Балкарии.
-
C.
Maléter
Maléter is the surname of Pál Maléter, a Hungarian military officer and key figure in the 1956 Hungarian Revolution.
-
D.
Malý Choč
Malý Choč is a notable peak in northern Slovakia known for its scenic views within the Choč mountain range.
-
E.
Malo
Malo is an Oceanic language of Vanuatu, also known as Tamambo, spoken primarily on Malo Island.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca82e96a108190932bd1fc4acd73a0 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb6922f888190b5c4b58fbe21bea2 |
completed | April 2, 2026, 12:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d22933d26c8190937e4cbdbd8209dc |
completed | April 5, 2026, 9:19 a.m. |
Created at: March 30, 2026, 8:46 p.m.