Triple
T20454737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ratargul Swamp Forest |
E501745
|
entity |
| Predicate | maxWaterDepthDuringMonsoon |
P42760
|
FINISHED |
| Object | approximately 15–20 feet |
—
|
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: approximately 15–20 feet | Statement: [Ratargul Swamp Forest, maxWaterDepthDuringMonsoon, approximately 15–20 feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maxWaterDepthDuringMonsoon Context triple: [Ratargul Swamp Forest, maxWaterDepthDuringMonsoon, approximately 15–20 feet]
-
A.
maximumWaterDepth
chosen
Indicates the greatest depth of water present or allowed in a given context, such as a location, container, or body of water.
-
B.
minimumWaterDepthAboveCrest
Indicates the smallest required depth of water that must be maintained above the crest level of a structure or feature.
-
C.
monsoonDependent
Indicates that the occurrence, intensity, or outcome of something is contingent on or significantly influenced by monsoon conditions.
-
D.
rainfallPeak
Indicates the time or value at which rainfall intensity reaches its maximum during a given period or event.
-
E.
averageDepthDrySeason
Indicates the typical depth of something during the dry season, averaged over a relevant time or set of observations.
- 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_69e0b4ad4940819098cf2ff6413574e5 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e68d04ca4081909b428c31d16fca10 |
completed | April 20, 2026, 8:31 p.m. |
| PD | Predicate disambiguation | batch_69e57679eb40819086142df3e39c928e |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 16, 2026, 11:32 a.m.