Triple
T4179183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hıdırlık Tower |
E86550
|
entity |
| Predicate | hasFunctionToday |
P34775
|
FINISHED |
| Object | viewing point |
—
|
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: viewing point | Statement: [Hıdırlık Tower, hasFunctionToday, viewing point]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFunctionToday Context triple: [Hıdırlık Tower, hasFunctionToday, viewing point]
-
A.
functionToday
chosen
Indicates that a function or role is being performed or is in effect on the current day.
-
B.
hadFunction
Indicates that an entity previously served or fulfilled a particular role, purpose, or function.
-
C.
usesFunction
Indicates that one entity employs, invokes, or relies on a particular function to perform an operation or achieve a result.
-
D.
hasDailyService
Indicates that a service or operation occurs every day on a regular, scheduled basis.
-
E.
hasLegalFunction
Indicates that an entity performs, fulfills, or is assigned a specific legal role, duty, or function within a legal or regulatory 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_69aed93de98c8190ad838ce507b77c8a |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af07078cb081909f64326b12522410 |
completed | March 9, 2026, 5:44 p.m. |
| PD | Predicate disambiguation | batch_69af019155448190b19868583272513f |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:45 p.m.