Triple
T3855288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HSBC Main Building, Hong Kong |
E89997
|
entity |
| Predicate | yearLostTallestStatus |
P1277
|
FINISHED |
| Object | 1989 |
—
|
LITERAL FINISHED |
How this triple was built (2 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: 1989 | Statement: [HSBC Main Building, Hong Kong, yearLostTallestStatus, 1989]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearLostTallestStatus Context triple: [HSBC Main Building, Hong Kong, yearLostTallestStatus, 1989]
-
A.
formerTallestFreeStandingStructureOnLand
Indicates that one entity was, at some time in the past, the tallest free-standing structure on land relative to the other entity or to all comparable structures.
-
B.
heldTallestStructureTitleUntil
chosen
Indicates that one structure held the title of being the tallest in a given context up to and including a specified end time.
-
C.
rankInCityByHeight
Indicates the relative ordering of entities within a specific city based on their height, such as which is tallest, second tallest, and so on.
-
D.
rankAmongTallestBuildings
Indicates that one building is among the tallest buildings within a specified group, area, or category.
-
E.
worldRegionTallestRecord
Indicates that an entity holds the record for being the tallest within a specified world region.
- F. None of above.
Provenance (3 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_69aed95b3c088190a8f85d19e6070599 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec05ec4c8190bd5e5463163712dc |
completed | March 9, 2026, 3:49 p.m. |
| PD | Predicate disambiguation | batch_69aee752c8a48190a670f73ed0bf1e61 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:19 p.m.