Triple
T29047860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sphinx Gate at Yerkapı |
E735181
|
entity |
| Predicate | capitalOfWhichCity |
P180789
|
FINISHED |
| Object | Hattusa |
—
|
NE NERFINISHED |
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: Hattusa | Statement: [Sphinx Gate at Yerkapı, capitalOfWhichCity, Hattusa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: capitalOfWhichCity Context triple: [Sphinx Gate at Yerkapı, capitalOfWhichCity, Hattusa]
-
A.
capitalOfWhichAdministrativeEntity
Indicates that one entity serves as the capital city or seat of government for a specified administrative division or territorial unit.
-
B.
cityAsCapitalOf
Indicates that a city serves as the official capital of a specified political or administrative entity.
-
C.
countryCapitalOfLocatedCity
Indicates that a city serves as the capital of a country and is geographically located within that country.
-
D.
destinationCapitalOf
Indicates that a location serves as the capital city of the specified destination or region.
-
E.
basedInCapital
Indicates that an entity is located or has its main base of operations in a capital city.
- F. None of above. chosen
Provenance (4 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_69f077e64b88819094d37bdbca8191b3 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f7516d5b4081908588a6feb541f355 |
completed | May 3, 2026, 1:45 p.m. |
| PD | Predicate disambiguation | batch_69f74d40ebb081909daf60623e38f41d |
completed | May 3, 2026, 1:27 p.m. |
| PDg | Predicate description generation | batch_69f7516c538481908c6e55cf76add098 |
completed | May 3, 2026, 1:45 p.m. |
Created at: April 28, 2026, 10:06 a.m.