Triple
T3274183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fendouzhe |
E68719
|
entity |
| Predicate | maximumDesignDepth |
P968
|
FINISHED |
| Object | over 10000 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: over 10000 m | Statement: [Fendouzhe, maximumDesignDepth, over 10000 m]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumDesignDepth Context triple: [Fendouzhe, maximumDesignDepth, over 10000 m]
-
A.
maximumWaterDepth
Indicates the greatest depth of water present or allowed in a given context, such as a location, container, or body of water.
-
B.
maximumDepth
chosen
Indicates the greatest extent or deepest level reached by something within a given context or structure.
-
C.
maximumVesselDraft
Indicates the greatest depth a vessel can safely extend below the waterline, typically limiting where it can navigate or dock.
-
D.
maximumHeightAboveSeafloor
Indicates the greatest vertical distance between an object or feature and the seafloor beneath it.
-
E.
minimumWaterDepthAboveCrest
Indicates the smallest required depth of water that must be maintained above the crest level of a structure 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_69ad859b54f881909bf530d549caf2fd |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adaff8a440819092509bc8511b2785 |
completed | March 8, 2026, 5:20 p.m. |
| PD | Predicate disambiguation | batch_69ada420167c81909b6e2702db296d9e |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:10 p.m.