Triple
T19976412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | İnceburun Peninsula |
E493702
|
entity |
| Predicate | countryExtreme |
P46620
|
FINISHED |
| Object | northernmost point of Turkey |
—
|
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: northernmost point of Turkey | Statement: [İnceburun Peninsula, countryExtreme, northernmost point of Turkey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryExtreme Context triple: [İnceburun Peninsula, countryExtreme, northernmost point of Turkey]
-
A.
countryTheme
Indicates that something is associated with or represents a thematic focus on a particular country.
-
B.
geographicalExtreme
chosen
Indicates that one place represents an extreme (such as the northernmost, highest, deepest, etc.) within a specified geographic or administrative area.
-
C.
fallCountry
Indicates that an entity collapses, fails, or loses control within the context of a specified country.
-
D.
crashCountry
Indicates that an aviation crash event occurred within the territory or jurisdiction of a specified country.
-
E.
country1
Indicates that the subject entity is a country (or represents a country) in the given context.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65d0f4fb48190ad63afeff3513523 |
completed | April 20, 2026, 5:06 p.m. |
| PD | Predicate disambiguation | batch_69e537fae79c81909eae39500766d0b6 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 11, 2026, 3:27 p.m.