Triple
T2181453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caraga |
E49052
|
entity |
| Predicate | hasComponentCity |
P37693
|
FINISHED |
| Object |
Tandag
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.
|
E241373
|
NE FINISHED |
How this triple was built (4 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: [Caraga, hasComponentCity, Tandag]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tandag Context triple: [Caraga, hasComponentCity, Tandag]
-
A.
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.
-
B.
Perjeta
Perjeta is a monoclonal antibody drug used in combination therapies to treat HER2-positive breast cancer.
-
C.
Dag
Dag is a Scandinavian masculine given name, most famously borne by Swedish diplomat and second United Nations Secretary-General Dag Hammarskjöld.
-
D.
Muanda
Muanda is a coastal town in the Democratic Republic of the Congo situated near the mouth of the Congo River on the Atlantic Ocean.
-
E.
MARDI
MARDI is a descent imaging camera on NASA's Curiosity rover that captured high-resolution video of the rover's landing on Mars and helps document the geology of its landing site.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tandag Triple: [Caraga, hasComponentCity, Tandag]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tandag Target entity description: 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.
-
A.
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.
-
B.
Perjeta
Perjeta is a monoclonal antibody drug used in combination therapies to treat HER2-positive breast cancer.
-
C.
Dag
Dag is a Scandinavian masculine given name, most famously borne by Swedish diplomat and second United Nations Secretary-General Dag Hammarskjöld.
-
D.
Muanda
Muanda is a coastal town in the Democratic Republic of the Congo situated near the mouth of the Congo River on the Atlantic Ocean.
-
E.
MARDI
MARDI is a descent imaging camera on NASA's Curiosity rover that captured high-resolution video of the rover's landing on Mars and helps document the geology of its landing site.
- F. None of above. chosen
Provenance (5 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_69a88aa72d348190a9544bb5b8a4e71d |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc5b101d48190a321625720d537b6 |
completed | March 7, 2026, 6:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5da5930c819087e71a609f76e269 |
completed | March 9, 2026, 5:41 a.m. |
| NEDg | Description generation | batch_69ae5e4a45a08190bd96af6cda06ab35 |
completed | March 9, 2026, 5:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae5ec4a35c8190bffc7a183497e764 |
completed | March 9, 2026, 5:46 a.m. |
Created at: March 4, 2026, 7:45 p.m.