Triple
T7317086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surigaonon language |
E168440
|
entity |
| Predicate | spokenInCity |
P8343
|
FINISHED |
| Object | Tandag |
E241373
|
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: Tandag | Statement: [Surigaonon language, spokenInCity, Tandag]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tandag Context triple: [Surigaonon language, spokenInCity, Tandag]
-
A.
Tandag
chosen
Tandag is a coastal city in the Philippines that serves as the capital of the province of Surigao del Sur in the Caraga region of Mindanao.
-
B.
Dyushambe
Dyushambe is the former name of Dushanbe, the capital and largest city of Tajikistan.
-
C.
Mardi
"Mardi" is an 1849 novel by Herman Melville, known as his first major foray into philosophical and allegorical fiction set in a fantastical South Seas archipelago.
-
D.
Düne
Düne is a small neighboring island of Helgoland in the North Sea, known for its sandy beaches, dunes, and seal colonies.
-
E.
Perjeta
Perjeta is a monoclonal antibody drug used in combination therapies to treat HER2-positive breast cancer.
- 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_69c68a5251508190ad68df4151cfeb04 |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6ef162d488190bf1c63b71b20a294 |
completed | March 27, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7eef3b1c48190ae65a136121b39cb |
completed | March 28, 2026, 3:08 p.m. |
Created at: March 27, 2026, 3:02 p.m.