Triple
T11963100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boni MRT station |
E284719
|
entity |
| Predicate | servesDistrict |
P82
|
FINISHED |
| Object |
Plainview
Plainview is a barangay in Mandaluyong City, Metro Manila, known for its dense residential areas and proximity to major commercial and transport hubs.
|
E956964
|
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: Plainview | Statement: [Boni MRT station, servesDistrict, Plainview]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Plainview Context triple: [Boni MRT station, servesDistrict, Plainview]
-
A.
Plainview
Plainview is a small city in northwestern Texas that serves as a regional agricultural and commercial center in the Texas Panhandle.
-
B.
Bella Vista
Bella Vista is a historic, culturally vibrant neighborhood in South Philadelphia known for its Italian Market and diverse dining scene.
-
C.
Bella Vista
Bella Vista is a small unincorporated community in Northern California’s Shasta County, known for its rural setting near Redding.
-
D.
Cowtown
Cowtown is a popular nickname for Calgary, a major Canadian city known for its historic cattle industry and annual Calgary Stampede.
-
E.
McKinney
McKinney is a surname of Scottish and Irish origin borne by various notable individuals, including American politician and activist Cynthia McKinney.
- 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: Plainview Triple: [Boni MRT station, servesDistrict, Plainview]
Generated description
Plainview is a barangay in Mandaluyong City, Metro Manila, known for its dense residential areas and proximity to major commercial and transport hubs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Plainview Target entity description: Plainview is a barangay in Mandaluyong City, Metro Manila, known for its dense residential areas and proximity to major commercial and transport hubs.
-
A.
Plainview
Plainview is a small city in northwestern Texas that serves as a regional agricultural and commercial center in the Texas Panhandle.
-
B.
Bella Vista
Bella Vista is a historic, culturally vibrant neighborhood in South Philadelphia known for its Italian Market and diverse dining scene.
-
C.
Bella Vista
Bella Vista is a small unincorporated community in Northern California’s Shasta County, known for its rural setting near Redding.
-
D.
Cowtown
Cowtown is a popular nickname for Calgary, a major Canadian city known for its historic cattle industry and annual Calgary Stampede.
-
E.
McKinney
McKinney is a surname of Scottish and Irish origin borne by various notable individuals, including American politician and activist Cynthia McKinney.
- 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9037848f481908276716675464464 |
completed | April 10, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4594054f08190b28b35f62dfb9198 |
completed | May 1, 2026, 7:41 a.m. |
| NEDg | Description generation | batch_69f45f89d5b08190a87312d96e61898a |
completed | May 1, 2026, 8:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f464a5191881908e291943996169cb |
completed | May 1, 2026, 8:30 a.m. |
Created at: April 8, 2026, 9:45 p.m.