Triple
T32278648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palawan Trough |
E824628
|
entity |
| Predicate | minimumDepth_m |
P29459
|
FINISHED |
| Object | >4000 |
—
|
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: >4000 | Statement: [Palawan Trough, minimumDepth_m, >4000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minimumDepth_m Context triple: [Palawan Trough, minimumDepth_m, >4000]
-
A.
minimumDepth
chosen
Indicates the smallest or shallowest depth value associated with an entity or between entities in a given context.
-
B.
maximumDepth
Indicates the greatest extent or deepest level reached by something within a given context or structure.
-
C.
minimumWaterDepth
Indicates the smallest water depth at which the related object, activity, or condition is valid, safe, or applicable.
-
D.
minimumDegree
Indicates that the relationship specifies the smallest number of connections or edges incident to any entity within a given structure or set.
-
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_69f3490f404081908450db66884f4334 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6fb19063c81909466b329655c8583 |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f96badb08190994442c2aba840b1 |
completed | May 3, 2026, 7:29 a.m. |
Created at: May 1, 2026, 12:43 a.m.