Triple
T11953722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surigao del Sur |
E284494
|
entity |
| Predicate | capital |
P234
|
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: [Surigao del Sur, capital, Tandag]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tandag Context triple: [Surigao del Sur, capital, 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.
Daag
Daag is a 1973 Hindi romantic drama film, directed by Yash Chopra and starring Rajesh Khanna and Sharmila Tagore, known for its music and emotionally charged storyline.
-
E.
Pekan Rabu
Pekan Rabu is a historic and popular traditional market in Alor Setar, Kedah, known for its wide range of local handicrafts, foods, and Malay cultural products.
- 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90365da288190a132703df563de23 |
completed | April 10, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4590584608190bc00840c43f115a0 |
completed | May 1, 2026, 7:40 a.m. |
Created at: April 8, 2026, 9:45 p.m.