Triple
T5514444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DOALOS |
E144645
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | DOALOS |
E144645
|
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: DOALOS | Statement: [DOALOS, abbreviation, DOALOS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DOALOS Context triple: [DOALOS, abbreviation, DOALOS]
-
A.
DOALOS
chosen
DOALOS is the United Nations office responsible for supporting the implementation and development of international law governing the oceans and seas, including the UN Convention on the Law of the Sea.
-
B.
Doala
Doala is the acrobatic blue koala mascot of Japan’s Chunichi Dragons baseball team, known for his comedic backflips and eccentric performances.
-
C.
Dovadola
Dovadola is a small Italian town and municipality in the Emilia-Romagna region, known for its historic center and scenic location in the Apennine foothills.
-
D.
Dashilar
Dashilar is one of Beijing’s oldest and most famous commercial neighborhoods, known for its traditional alleyways, historic shops, and preserved Qing-era architecture near Tiananmen Square.
-
E.
Loiceño
Loiceño is the Spanish demonym for a person from the municipality of Loíza in Puerto Rico.
- 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_69c008f77ff88190b0cd50ca207295d1 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f5b4e988190b590b4157cf089c1 |
completed | March 22, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c027d52b808190ada94893b043fb19 |
completed | March 22, 2026, 5:33 p.m. |
Created at: March 22, 2026, 3:33 p.m.