Triple
T19898790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cagayan Province |
E478223
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Rizal
Rizal is a landlocked agricultural municipality in the province of Cagayan in the Philippines.
|
E1401391
|
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: Rizal | Statement: [Cagayan Province, hasMunicipality, Rizal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rizal Context triple: [Cagayan Province, hasMunicipality, Rizal]
-
A.
Rizal
Rizal is a province in the Philippines located just east of Metro Manila, known for its historical significance and scenic mountainous landscapes.
-
B.
Rizal
Rizal is a landlocked municipality in the province of Kalinga in the Cordillera region of the northern Philippines.
-
C.
Rizal
Rizal is a coastal agricultural municipality in the province of Occidental Mindoro in the Philippines.
-
D.
Rizal
Rizal is a barangay (village-level administrative division) located in the municipality of San Antonio in the province of Zambales, Philippines.
-
E.
Rizal
Rizal is a rural municipality in the province of Zamboanga del Norte in the Philippines.
- 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: Rizal Triple: [Cagayan Province, hasMunicipality, Rizal]
Generated description
Rizal is a landlocked agricultural municipality in the province of Cagayan in the Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rizal Target entity description: Rizal is a landlocked agricultural municipality in the province of Cagayan in the Philippines.
-
A.
Rizal
Rizal is a province in the Philippines located just east of Metro Manila, known for its historical significance and scenic mountainous landscapes.
-
B.
Rizal
Rizal is a rural municipality in the province of Zamboanga del Norte in the Philippines.
-
C.
Rizal
Rizal is a landlocked municipality in the province of Kalinga in the Cordillera region of the northern Philippines.
-
D.
Rizal
Rizal is a coastal agricultural municipality in the province of Occidental Mindoro in the Philippines.
-
E.
Rizal
Rizal is a barangay (village-level administrative division) located in the municipality of San Antonio in the province of Zambales, Philippines.
- 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_69d8e520682081909892916424699bd5 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6593fbb348190afa7acf45af406ed |
completed | April 20, 2026, 4:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07ea42b8c88190922819539e4b640b |
completed | May 16, 2026, 3:53 a.m. |
| NEDg | Description generation | batch_6a07eaffbc748190b33574e2868f94c5 |
completed | May 16, 2026, 3:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07eb617a3c8190a0538feb7bc962cd |
completed | May 16, 2026, 3:58 a.m. |
Created at: April 10, 2026, 1:52 p.m.