Triple
T18003113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isabela Province |
E430675
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Divilacan
Divilacan is a coastal municipality in the province of Isabela in the Philippines, known for its forests, beaches, and relatively remote, rural character.
|
E1301429
|
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: Divilacan | Statement: [Isabela Province, hasMunicipality, Divilacan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Divilacan Context triple: [Isabela Province, hasMunicipality, Divilacan]
-
A.
Ravanica
Ravanica is a river in central Serbia that flows through the region before joining the Velika Morava.
-
B.
Morača
Morača is a major river in Montenegro that flows through the capital city of Podgorica before emptying into Lake Skadar.
-
C.
Dudinka
Dudinka is a remote Arctic port town in northern Siberia, Russia, serving as a key shipping hub on the Yenisei River and gateway to the Norilsk industrial region.
-
D.
Dušica
Dušica was a medieval Serbian princess, the daughter of King Stefan Uroš III Dečanski of Serbia.
-
E.
Bjelolasica
Bjelolasica is a prominent mountain peak in Croatia known for its forested slopes and former ski facilities.
- 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: Divilacan Triple: [Isabela Province, hasMunicipality, Divilacan]
Generated description
Divilacan is a coastal municipality in the province of Isabela in the Philippines, known for its forests, beaches, and relatively remote, rural character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Divilacan Target entity description: Divilacan is a coastal municipality in the province of Isabela in the Philippines, known for its forests, beaches, and relatively remote, rural character.
-
A.
Ravanica
Ravanica is a river in central Serbia that flows through the region before joining the Velika Morava.
-
B.
Morača
Morača is a major river in Montenegro that flows through the capital city of Podgorica before emptying into Lake Skadar.
-
C.
Dudinka
Dudinka is a remote Arctic port town in northern Siberia, Russia, serving as a key shipping hub on the Yenisei River and gateway to the Norilsk industrial region.
-
D.
Dušica
Dušica was a medieval Serbian princess, the daughter of King Stefan Uroš III Dečanski of Serbia.
-
E.
Bjelolasica
Bjelolasica is a prominent mountain peak in Croatia known for its forested slopes and former ski facilities.
- 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b3ea60608190b977644e946407b7 |
completed | April 19, 2026, 10:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03431b4b6c8190836e7856a93d485c |
completed | May 12, 2026, 3:11 p.m. |
| NEDg | Description generation | batch_6a03447c0530819082d554592eec03ca |
completed | May 12, 2026, 3:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a034552e424819087b23bcf3f688523 |
completed | May 12, 2026, 3:20 p.m. |
Created at: April 10, 2026, 10:23 a.m.