Triple
T2307125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Former Lake Zumpango |
E51864
|
entity |
| Predicate | causeOfDisappearance |
P19454
|
FINISHED |
| Object | drainage and desiccation projects |
—
|
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: drainage and desiccation projects | Statement: [Former Lake Zumpango, causeOfDisappearance, drainage and desiccation projects]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causeOfDisappearance Context triple: [Former Lake Zumpango, causeOfDisappearance, drainage and desiccation projects]
-
A.
placeOfDisappearance
Indicates the location where an entity was last seen or went missing.
-
B.
disappearance
Indicates that an entity ceases to be present, visible, or detectable in a given context or location.
-
C.
yearOfDisappearance
Indicates the specific year in which an entity disappeared or ceased to be present.
-
D.
methodOfDisappearance
chosen
Indicates the specific way or process by which an entity ceases to be present, visible, or existent.
-
E.
disappearanceFromSources
Indicates that an entity ceases to be mentioned or recorded in the available sources after a certain point in time.
- 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_69a88b0bb30c81908ded03b006d29387 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abce1f4f0c8190a714e4dcb8449f7e |
completed | March 7, 2026, 7:05 a.m. |
| PD | Predicate disambiguation | batch_69abc58ce2a081908ce2f0cadd92e9f8 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:49 p.m.