Triple
T2289970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | former Lake Chalco |
E51478
|
entity |
| Predicate | impactOfDrainage |
P36224
|
FINISHED |
| Object | loss of wetland ecosystems |
—
|
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: loss of wetland ecosystems | Statement: [former Lake Chalco, impactOfDrainage, loss of wetland ecosystems]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impactOfDrainage Context triple: [former Lake Chalco, impactOfDrainage, loss of wetland ecosystems]
-
A.
drainageType
Indicates the kind or classification of drainage associated with or applied to an entity (e.g., how water is removed or flows from it).
-
B.
drainageBasin
Indicates the area of land where all precipitation and surface water flow are collected and drained toward a particular river, lake, or other water body.
-
C.
drainageDivideOf
Indicates that one geographic feature functions as the drainage divide (separating water flow into different basins) for another feature or area.
-
D.
drainageDirection
Indicates the direction in which water or other fluids flow or are drained away from a given point or area.
-
E.
drainsInto
Indicates that one entity serves as a source or conduit whose contents or flow are directed into another entity.
- 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_69a88b09c644819090b503456d96bf70 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc273b67c8190bcd96f9a484647ef |
completed | March 7, 2026, 6:15 a.m. |
| PD | Predicate disambiguation | batch_69abbdbc8bcc8190a183481d766965a4 |
completed | March 7, 2026, 5:55 a.m. |
| PDg | Predicate description generation | batch_69abbe1ecb7081909c2c66da08a48ab7 |
completed | March 7, 2026, 5:56 a.m. |
Created at: March 4, 2026, 7:48 p.m.