Triple
T3928694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Main Tower |
E93339
|
entity |
| Predicate | rankingInCity |
P1944
|
FINISHED |
| Object | one of the tallest buildings in Frankfurt |
—
|
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: one of the tallest buildings in Frankfurt | Statement: [Main Tower, rankingInCity, one of the tallest buildings in Frankfurt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankingInCity Context triple: [Main Tower, rankingInCity, one of the tallest buildings in Frankfurt]
-
A.
areaRank
Indicates the relative ordering or position of an entity based on the size of its area compared to others.
-
B.
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).
-
C.
isGlobalCityRank
Indicates the relative position or ranking of a city within a global hierarchy of cities based on specified criteria.
-
D.
rankingInCountry
Indicates the position or level an entity holds within an ordered list specific to a particular country.
-
E.
rankedAs
chosen
Indicates that one entity is assigned a specific position or level in an ordered ranking relative to others.
- 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_69aed96bfa1081908f7b30f2c647dee6 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeeda65b708190b24cd715915aec1d |
completed | March 9, 2026, 3:56 p.m. |
| PD | Predicate disambiguation | batch_69aee7609c4081908000ce12ae827c3f |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:23 p.m.