Triple
T4536719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Makati |
E107424
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object |
Bel-Air
Bel-Air is an upscale residential and commercial barangay in Makati City, Metro Manila, known for its gated villages and proximity to the central business district.
|
E450362
|
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: Bel-Air | Statement: [Makati, hasDistrict, Bel-Air]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bel-Air Context triple: [Makati, hasDistrict, Bel-Air]
-
A.
Bel-Air
Bel-Air is a central public transport interchange in Geneva, Switzerland, serving as a key node for tram and bus connections across the city.
-
B.
Bel-Air
Bel-Air is a Paris Métro station located in the 12th arrondissement of Paris, France.
-
C.
Hotel Bel-Air
Hotel Bel-Air is a historic, ultra-luxury hotel in Los Angeles known for its secluded garden setting, celebrity clientele, and classic Hollywood glamour.
-
D.
Sanford and Son
Sanford and Son is a classic 1970s American sitcom about a cantankerous junk dealer and his long-suffering son, renowned for its sharp humor and cultural impact.
-
E.
Topridge
Topridge is a historic Adirondack Great Camp in New York, renowned as a lavish wilderness retreat built in the early 20th century for socialite Marjorie Merriweather Post.
- 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: Bel-Air Triple: [Makati, hasDistrict, Bel-Air]
Generated description
Bel-Air is an upscale residential and commercial barangay in Makati City, Metro Manila, known for its gated villages and proximity to the central business district.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bel-Air Target entity description: Bel-Air is an upscale residential and commercial barangay in Makati City, Metro Manila, known for its gated villages and proximity to the central business district.
-
A.
Bel-Air
Bel-Air is a central public transport interchange in Geneva, Switzerland, serving as a key node for tram and bus connections across the city.
-
B.
Bel-Air
Bel-Air is a Paris Métro station located in the 12th arrondissement of Paris, France.
-
C.
Hotel Bel-Air
Hotel Bel-Air is a historic, ultra-luxury hotel in Los Angeles known for its secluded garden setting, celebrity clientele, and classic Hollywood glamour.
-
D.
Sanford and Son
Sanford and Son is a classic 1970s American sitcom about a cantankerous junk dealer and his long-suffering son, renowned for its sharp humor and cultural impact.
-
E.
Topridge
Topridge is a historic Adirondack Great Camp in New York, renowned as a lavish wilderness retreat built in the early 20th century for socialite Marjorie Merriweather Post.
- 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_69bd43f922788190b7edfa294e39b178 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57b78b8481909d79131723d4be22 |
completed | March 20, 2026, 2:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdacf5858081909d38cad86d4014f2 |
completed | March 20, 2026, 8:24 p.m. |
| NEDg | Description generation | batch_69bdad97c9e0819093849c81fb2a3d8c |
completed | March 20, 2026, 8:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdae2dd51081909a24017a4b983f70 |
completed | March 20, 2026, 8:29 p.m. |
Created at: March 20, 2026, 1:04 p.m.