Triple
T7696023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rizal |
E174371
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Morong
Morong is a coastal municipality in the Philippine province of Rizal known for its historic church and proximity to Metro Manila.
|
E683565
|
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: Morong | Statement: [Rizal, hasMunicipality, Morong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morong Context triple: [Rizal, hasMunicipality, Morong]
-
A.
Morong
Morong is a coastal municipality in the Philippine province of Bataan known for its beaches, eco-tourism sites, and the Pawikan (sea turtle) Conservation Center.
-
B.
Mogilany
Mogilany is a village in southern Poland that serves as the seat of Gmina Mogilany within the Lesser Poland Voivodeship.
-
C.
Morro
Morro is a village located on the island of Maio in Cape Verde, known for its coastal setting and small-community character.
-
D.
Mompeo
Mompeo is a small Italian municipality in the Lazio region, known for its historic hilltop setting and scenic views within the Province of Rieti.
-
E.
Belmonte
Belmonte is a historic town in Portugal known for its medieval castle and strong Jewish heritage, located in the country's Centro Region.
- 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: Morong Triple: [Rizal, hasMunicipality, Morong]
Generated description
Morong is a coastal municipality in the Philippine province of Rizal known for its historic church and proximity to Metro Manila.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Morong Target entity description: Morong is a coastal municipality in the Philippine province of Rizal known for its historic church and proximity to Metro Manila.
-
A.
Morong
Morong is a coastal municipality in the Philippine province of Bataan known for its beaches, eco-tourism sites, and the Pawikan (sea turtle) Conservation Center.
-
B.
Mogilany
Mogilany is a village in southern Poland that serves as the seat of Gmina Mogilany within the Lesser Poland Voivodeship.
-
C.
Morro
Morro is a village located on the island of Maio in Cape Verde, known for its coastal setting and small-community character.
-
D.
Mompeo
Mompeo is a small Italian municipality in the Lazio region, known for its historic hilltop setting and scenic views within the Province of Rieti.
-
E.
Belmonte
Belmonte is a historic town in Portugal known for its medieval castle and strong Jewish heritage, located in the country's Centro Region.
- 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_69c6995966348190939e6c37ba272c06 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70267dab88190ac8e3f643343bf13 |
completed | March 27, 2026, 10:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8acaa6004819088f1ae45ad9b378e |
completed | March 29, 2026, 4:38 a.m. |
| NEDg | Description generation | batch_69c8adf82b5481908bb556a15ff942fd |
completed | March 29, 2026, 4:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8ae9096ac8190af6fdfbfc35200cd |
completed | March 29, 2026, 4:46 a.m. |
Created at: March 27, 2026, 4:03 p.m.