Triple
T3908646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bulacan |
E87267
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Obando
Obando is a coastal municipality in the province of Bulacan, Philippines, known for its annual fertility dance festival held in honor of Catholic patron saints.
|
E398983
|
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: Obando | Statement: [Bulacan, hasMunicipality, Obando]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Obando Context triple: [Bulacan, hasMunicipality, Obando]
-
A.
Maishima
Maishima is a man-made island in Osaka, Japan, known for its sports facilities, event venues, and waterfront recreational areas.
-
B.
Tatsuno
Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
-
C.
Akiruno
Akiruno is a city in western Tokyo, Japan, known for its natural scenery, including rivers, forests, and hiking areas.
-
D.
Kyotanabe
Kyotanabe is a city in Kyoto Prefecture, Japan, known for its residential suburbs, educational institutions, and location within the Kansai region.
-
E.
Fujinomiya
Fujinomiya is a city in Shizuoka Prefecture, Japan, known as a major gateway to Mount Fuji and for its scenic views of the iconic volcano.
- 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: Obando Triple: [Bulacan, hasMunicipality, Obando]
Generated description
Obando is a coastal municipality in the province of Bulacan, Philippines, known for its annual fertility dance festival held in honor of Catholic patron saints.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Obando Target entity description: Obando is a coastal municipality in the province of Bulacan, Philippines, known for its annual fertility dance festival held in honor of Catholic patron saints.
-
A.
Maishima
Maishima is a man-made island in Osaka, Japan, known for its sports facilities, event venues, and waterfront recreational areas.
-
B.
Tatsuno
Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
-
C.
Akiruno
Akiruno is a city in western Tokyo, Japan, known for its natural scenery, including rivers, forests, and hiking areas.
-
D.
Kyotanabe
Kyotanabe is a city in Kyoto Prefecture, Japan, known for its residential suburbs, educational institutions, and location within the Kansai region.
-
E.
Fujinomiya
Fujinomiya is a city in Shizuoka Prefecture, Japan, known as a major gateway to Mount Fuji and for its scenic views of the iconic volcano.
- 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_69aed9424514819086e9c58adde6652d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeed13bb14819096842c6c82342524 |
completed | March 9, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5285851248190a18cea371aacbc49 |
completed | March 14, 2026, 9:20 a.m. |
| NEDg | Description generation | batch_69b5292b13a08190bf23231285adae38 |
completed | March 14, 2026, 9:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b529600884819098cb208e38e6281a |
completed | March 14, 2026, 9:24 a.m. |
Created at: March 9, 2026, 3:22 p.m.