Triple
T4541922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mexico City National Cemetery |
E107552
|
entity |
| Predicate | primaryBurialsFrom |
P45931
|
FINISHED |
| Object | 1846–1848 |
—
|
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: 1846–1848 | Statement: [Mexico City National Cemetery, primaryBurialsFrom, 1846–1848]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryBurialsFrom Context triple: [Mexico City National Cemetery, primaryBurialsFrom, 1846–1848]
-
A.
hasBurialsFrom
chosen
Indicates that a location or site contains burials originating from a specified time period, culture, or source.
-
B.
firstBurial
Indicates that an entity is the earliest or initial burial associated with a person, place, or burial context.
-
C.
burials
Indicates that one entity is interred or laid to rest in a grave or burial site associated with another entity.
-
D.
burialBy
Indicates that one entity is responsible for burying or interring another entity.
-
E.
numberOfBurials
Indicates the total count of burial events associated with a given entity.
- 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_69bd43f922788190b7edfa294e39b178 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57d219d88190a67ada845323d7fb |
completed | March 20, 2026, 2:21 p.m. |
| PD | Predicate disambiguation | batch_69bd5220e40481908ca2d7e2c43d8531 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:04 p.m.