Triple
T18435309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RCBC Plaza |
E450374
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Tower 2
Tower 2 is one of the two high-rise office towers within the RCBC Plaza complex in Makati, Philippines, housing corporate offices and commercial spaces.
|
E1324092
|
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: Tower 2 | Statement: [RCBC Plaza, hasPart, Tower 2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tower 2 Context triple: [RCBC Plaza, hasPart, Tower 2]
-
A.
Tower 2
Tower 2 is one of the twin Petronas Towers in Kuala Lumpur, Malaysia, notable for housing the main public observation deck overlooking the city.
-
B.
Tower 2
Tower 2 is a planned skyscraper at 200 Greenwich Street in Lower Manhattan, intended as part of the rebuilt World Trade Center complex.
-
C.
Tower 2000
Tower 2000 is a high-rise office and business complex that forms part of Moscow’s modern Moscow International Business Center skyline.
-
D.
Tower Two
Tower Two is one of the defensive towers incorporated into the historic medieval city walls of York, England.
-
E.
Tower 42
Tower 42 is a prominent modernist skyscraper in the City of London, formerly known as the NatWest Tower and once the tallest building in the United Kingdom.
- 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: Tower 2 Triple: [RCBC Plaza, hasPart, Tower 2]
Generated description
Tower 2 is one of the two high-rise office towers within the RCBC Plaza complex in Makati, Philippines, housing corporate offices and commercial spaces.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tower 2 Target entity description: Tower 2 is one of the two high-rise office towers within the RCBC Plaza complex in Makati, Philippines, housing corporate offices and commercial spaces.
-
A.
Tower 2
Tower 2 is one of the twin Petronas Towers in Kuala Lumpur, Malaysia, notable for housing the main public observation deck overlooking the city.
-
B.
Tower 2
Tower 2 is a planned skyscraper at 200 Greenwich Street in Lower Manhattan, intended as part of the rebuilt World Trade Center complex.
-
C.
Tower 2000
Tower 2000 is a high-rise office and business complex that forms part of Moscow’s modern Moscow International Business Center skyline.
-
D.
Tower Two
Tower Two is one of the defensive towers incorporated into the historic medieval city walls of York, England.
-
E.
Tower 42
Tower 42 is a prominent modernist skyscraper in the City of London, formerly known as the NatWest Tower and once the tallest building in the United Kingdom.
- 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_69d8d381d6388190a9e94e9c658174e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e51c0bd35c8190b66d62ad9987377f |
completed | April 19, 2026, 6:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03f0b15e948190a60db27c70f8ad93 |
completed | May 13, 2026, 3:32 a.m. |
| NEDg | Description generation | batch_6a03f290f4fc819085e8ec688021af44 |
completed | May 13, 2026, 3:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03f2fc94b08190a3a69cced183dc86 |
completed | May 13, 2026, 3:41 a.m. |
Created at: April 10, 2026, 11:28 a.m.