Triple
T12478182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Region I |
E298230
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Candon
Candon is a component city in the province of Ilocos Sur in the Philippines, known for its tobacco industry and the famed "Candon Dwarf" mangoes.
|
E984118
|
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: Candon | Statement: [Region I, hasCity, Candon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Candon Context triple: [Region I, hasCity, Candon]
-
A.
Itogon
Itogon is a mountainous municipality in Benguet province in the Philippines, known for its mining industry and scenic river valleys.
-
B.
Menlale
Menlale is an alternative name for Mount Foraker, a prominent peak in the Alaska Range and one of the highest mountains in North America.
-
C.
Surigaonon
Surigaonon is a Visayan language spoken primarily in the Caraga region of northeastern Mindanao in the Philippines.
-
D.
Tinogasta
Tinogasta is a town in northwestern Argentina known for its wine production, hot springs, and location along the Andean mountain routes in Catamarca Province.
-
E.
Hinatuan
Hinatuan is a coastal municipality in the province of Surigao del Sur in the Philippines, best known for its clear blue Hinatuan Enchanted River.
- 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: Candon Triple: [Region I, hasCity, Candon]
Generated description
Candon is a component city in the province of Ilocos Sur in the Philippines, known for its tobacco industry and the famed "Candon Dwarf" mangoes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Candon Target entity description: Candon is a component city in the province of Ilocos Sur in the Philippines, known for its tobacco industry and the famed "Candon Dwarf" mangoes.
-
A.
Itogon
Itogon is a mountainous municipality in Benguet province in the Philippines, known for its mining industry and scenic river valleys.
-
B.
Menlale
Menlale is an alternative name for Mount Foraker, a prominent peak in the Alaska Range and one of the highest mountains in North America.
-
C.
Surigaonon
Surigaonon is a Visayan language spoken primarily in the Caraga region of northeastern Mindanao in the Philippines.
-
D.
Tinogasta
Tinogasta is a town in northwestern Argentina known for its wine production, hot springs, and location along the Andean mountain routes in Catamarca Province.
-
E.
Hinatuan
Hinatuan is a coastal municipality in the province of Surigao del Sur in the Philippines, best known for its clear blue Hinatuan Enchanted River.
- 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94dcc24e48190ae9c367a03f659f4 |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f2732a08190890493925e41a6e1 |
completed | May 2, 2026, 6:15 p.m. |
| NEDg | Description generation | batch_69f640b513488190893359e9964dbe98 |
completed | May 2, 2026, 6:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f641abe114819093d99a327f2220c2 |
completed | May 2, 2026, 6:25 p.m. |
Created at: April 8, 2026, 9:56 p.m.