Triple
T8079384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aurora |
E188575
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Casiguran
Casiguran is a coastal municipality in the province of Aurora, Philippines, known for its fishing communities, agricultural lands, and proximity to the Pacific Ocean.
|
E710472
|
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: Casiguran | Statement: [Aurora, hasMunicipality, Casiguran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Casiguran Context triple: [Aurora, hasMunicipality, Casiguran]
-
A.
Consuela
Consuela is a recurring character on the animated TV series "Family Guy," known as a stubborn, heavily accented Latina maid who often says "No, no, no."
-
B.
Solitano
Solitano is the surname of the central family in the film "Silver Linings Playbook," including the protagonist Pat Solitano portrayed by Bradley Cooper.
-
C.
Toma
Toma is a major Mande language spoken primarily in Guinea and neighboring West African countries.
-
D.
Kasama
Kasama is a major town in northern Zambia that serves as the administrative and commercial center of the Northern Province.
-
E.
Buena Fe
Buena Fe is a small city in Ecuador known for its agricultural activities and location within the coastal Los Ríos Province.
- 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: Casiguran Triple: [Aurora, hasMunicipality, Casiguran]
Generated description
Casiguran is a coastal municipality in the province of Aurora, Philippines, known for its fishing communities, agricultural lands, and proximity to the Pacific Ocean.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Casiguran Target entity description: Casiguran is a coastal municipality in the province of Aurora, Philippines, known for its fishing communities, agricultural lands, and proximity to the Pacific Ocean.
-
A.
Consuela
Consuela is a recurring character on the animated TV series "Family Guy," known as a stubborn, heavily accented Latina maid who often says "No, no, no."
-
B.
Solitano
Solitano is the surname of the central family in the film "Silver Linings Playbook," including the protagonist Pat Solitano portrayed by Bradley Cooper.
-
C.
Toma
Toma is a major Mande language spoken primarily in Guinea and neighboring West African countries.
-
D.
Kasama
Kasama is a major town in northern Zambia that serves as the administrative and commercial center of the Northern Province.
-
E.
Buena Fe
Buena Fe is a small city in Ecuador known for its agricultural activities and location within the coastal Los Ríos Province.
- 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_69ca82b662e88190b9323daab8c28a21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb40a3f01c819096a2c9d5d5199fe6 |
completed | March 31, 2026, 3:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63f79ac08190af49e77bee67921d |
completed | April 1, 2026, 12:16 a.m. |
| NEDg | Description generation | batch_69cc651d340c819089306bac7110f57a |
completed | April 1, 2026, 12:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc666ecc04819092ee4cc035dde627 |
completed | April 1, 2026, 12:27 a.m. |
Created at: March 30, 2026, 5:28 p.m.