Triple
T2289960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | former Lake Chalco |
E51478
|
entity |
| Predicate | drainedDuring |
P36222
|
FINISHED |
| Object | colonial period |
—
|
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: colonial period | Statement: [former Lake Chalco, drainedDuring, colonial period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drainedDuring Context triple: [former Lake Chalco, drainedDuring, colonial period]
-
A.
drainedSince
Indicates that one entity has had its contents or resources removed starting from a specific point in time.
-
B.
destroyedDuring
Indicates that one entity was destroyed in the course of, or as a consequence of, a specified event or time period.
-
C.
isDredged
Indicates that a waterway, channel, or seabed area has been excavated or cleared of sediment or debris, typically to maintain or increase its depth for navigation or other uses.
-
D.
drainsInto
Indicates that one entity serves as a source or conduit whose contents or flow are directed into another entity.
-
E.
killedDuring
Indicates that one entity caused the death of another entity in the course of, or as part of, a specified event or time period.
- 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.