Triple
T18515586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greenbelt |
E452452
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Greenbelt 1
Greenbelt 1 is one of the original shopping and entertainment complexes within the Greenbelt mall development in Makati, Philippines.
|
E1330865
|
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: Greenbelt 1 | Statement: [Greenbelt, hasPart, Greenbelt 1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greenbelt 1 Context triple: [Greenbelt, hasPart, Greenbelt 1]
-
A.
Greenbelt Town
Greenbelt Town is a planned community in Greenbelt, Maryland, originally developed as a New Deal-era federal housing project.
-
B.
Greenbelt Park
Greenbelt Park is a wooded national park in Greenbelt, Maryland, offering camping, hiking, and other outdoor recreation just outside Washington, D.C.
-
C.
Greenbelt Park
Greenbelt Park is a public recreational green space located in Upland, California.
-
D.
Udny Green
Udny Green is a small rural village in Aberdeenshire, Scotland, known for its traditional village green and historic parish church.
-
E.
Greenbelt
Greenbelt is a prominent upscale shopping, dining, and lifestyle complex located in the central business district of Makati in Metro Manila, Philippines.
- 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: Greenbelt 1 Triple: [Greenbelt, hasPart, Greenbelt 1]
Generated description
Greenbelt 1 is one of the original shopping and entertainment complexes within the Greenbelt mall development in Makati, Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Greenbelt 1 Target entity description: Greenbelt 1 is one of the original shopping and entertainment complexes within the Greenbelt mall development in Makati, Philippines.
-
A.
Greenbelt Town
Greenbelt Town is a planned community in Greenbelt, Maryland, originally developed as a New Deal-era federal housing project.
-
B.
Greenbelt Park
Greenbelt Park is a wooded national park in Greenbelt, Maryland, offering camping, hiking, and other outdoor recreation just outside Washington, D.C.
-
C.
Greenbelt Park
Greenbelt Park is a public recreational green space located in Upland, California.
-
D.
Udny Green
Udny Green is a small rural village in Aberdeenshire, Scotland, known for its traditional village green and historic parish church.
-
E.
Greenbelt
Greenbelt is a vast network of forests, trails, and natural areas on Staten Island that serves as one of New York City's largest and most significant urban park preserves.
- 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_69d8d386df84819092355ebb260d848e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5338a628c81909db08ae7dc94f59a |
completed | April 19, 2026, 7:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a049ad0868481908acdd25f8298283e |
completed | May 13, 2026, 3:37 p.m. |
| NEDg | Description generation | batch_6a049c461c288190955ac8cdaefc055d |
completed | May 13, 2026, 3:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a049cbbc0288190be82f11e660b7dff |
completed | May 13, 2026, 3:46 p.m. |
Created at: April 10, 2026, 11:36 a.m.