Triple
T32895028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Küçükçekmece Lake |
E841445
|
entity |
| Predicate | approximateMaximumDepth |
P9310
|
FINISHED |
| Object | 20 m |
—
|
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: 20 m | Statement: [Küçükçekmece Lake, approximateMaximumDepth, 20 m]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateMaximumDepth Context triple: [Küçükçekmece Lake, approximateMaximumDepth, 20 m]
-
A.
maximumDepth
Indicates the greatest extent or deepest level reached by something within a given context or structure.
-
B.
hasApproximateDepth
chosen
Indicates that an entity is associated with a depth value that is not exact but estimated or approximate.
-
C.
hasMaximumDepth
Indicates that an entity possesses a greatest or limiting depth value beyond which it does not extend.
-
D.
approximateMaximumHeight
Indicates the estimated upper limit of an entity’s height, rather than an exact measured value.
-
E.
maximumDepthCharacteristic
Indicates the greatest depth value that characterizes or constrains the extent of something (such as an object, layer, or feature).
- 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_69f34945ae408190b72d8118c83beb77 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fec5c503808190bde0b1829ea43071 |
completed | May 9, 2026, 5:27 a.m. |
| PD | Predicate disambiguation | batch_69fec535dd6c8190a6ab85201f5a04a9 |
completed | May 9, 2026, 5:25 a.m. |
Created at: May 1, 2026, 1:18 a.m.