Triple
T11660077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ocean Monument |
E277097
|
entity |
| Predicate | canBeDrained |
P100836
|
FINISHED |
| Object | Yes, by placing and removing blocks to displace water |
—
|
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: Yes, by placing and removing blocks to displace water | Statement: [Ocean Monument, canBeDrained, Yes, by placing and removing blocks to displace water]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeDrained Context triple: [Ocean Monument, canBeDrained, Yes, by placing and removing blocks to displace water]
-
A.
drainedFor
Indicates that a resource, substance, or energy is removed from one entity for the benefit, use, or purpose of another entity.
-
B.
drainedDuring
Indicates that one entity had its resources, energy, or contents depleted in the course of another event or process.
-
C.
doesNotDrainTo
Indicates that one entity does not channel, carry, or direct flow (such as water or other material) into another entity or location.
-
D.
drainageStatus
Indicates the condition or effectiveness of water removal or runoff from an area, surface, or system.
-
E.
drainedSince
Indicates that one entity has had its contents or resources removed starting from a specific point in time.
- F. None of above. chosen
Provenance (4 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a3d19c788190826d849a6ffedc72 |
completed | April 10, 2026, 7:16 a.m. |
| PD | Predicate disambiguation | batch_69d88a73f9ac819095662042804bf40a |
completed | April 10, 2026, 5:28 a.m. |
| PDg | Predicate description generation | batch_69d890458d948190b15054c9ba0fd923 |
completed | April 10, 2026, 5:53 a.m. |
Created at: April 8, 2026, 9:39 p.m.