Triple
T21650261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lotte World Tower |
E534317
|
entity |
| Predicate | rankInCity |
P69297
|
FINISHED |
| Object | tallest building in Seoul |
—
|
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: tallest building in Seoul | Statement: [Lotte World Tower, rankInCity, tallest building in Seoul]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankInCity Context triple: [Lotte World Tower, rankInCity, tallest building in Seoul]
-
A.
hasCityRank
chosen
Indicates that a city holds a particular rank or position within a defined ordering or hierarchy (such as size, importance, or administrative level).
-
B.
areaRank
Indicates the relative ordering or position of an entity based on the size of its area compared to others.
-
C.
metropolitanRank
Indicates the relative standing or position of a metropolitan area within a ranked ordering of metropolitan regions.
-
D.
addressesRank
Indicates that one entity directs communication, content, or behavior toward another entity based on that entity’s rank or hierarchical status.
-
E.
isInMetropolitanAreaRank
Indicates that one metropolitan area holds a specific rank or position relative to others based on a defined metropolitan-area-related criterion (such as size, population, or importance).
- 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_69e0c466aec88190ba39c7543dbc8ba2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef5913cd9c81908a6ce9bc741416bf |
completed | April 27, 2026, 12:39 p.m. |
| PD | Predicate disambiguation | batch_69e696826c3c81909270791e79760937 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:35 p.m.