Triple
T38216901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | cemetery of San Andrés Mixquic |
E1010709
|
entity |
| Predicate | hasReligionOfCommunity |
P60821
|
FINISHED |
| Object | Roman Catholicism |
E384
|
NE 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: Roman Catholicism | Statement: [cemetery of San Andrés Mixquic, hasReligionOfCommunity, Roman Catholicism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReligionOfCommunity Context triple: [cemetery of San Andrés Mixquic, hasReligionOfCommunity, Roman Catholicism]
-
A.
religiousBackgroundOfCommunity
chosen
Indicates the religious tradition, affiliation, or belief system that characterizes or predominates within a particular community.
-
B.
hasFormerReligiousCommunity
Indicates that an entity previously belonged to a particular religious community but is no longer a member of it.
-
C.
hasAssociatedReligion
Indicates that an entity is connected with or linked to a particular religion.
-
D.
hasReligiousOrganization
Indicates that an entity is associated with, governed by, or belongs to a specific religious organization.
-
E.
sharesReligionWith
Indicates that two entities follow or are associated with the same religion or religious tradition.
- F. None of above.
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_69f76dcdc7708190a5f1751d53f40ffe |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a418537f2a88190a250f30443563616 |
completed | June 28, 2026, 8:34 p.m. |
| PD | Predicate disambiguation | batch_6a037a1c850c819088795a7ae59bdeb8 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:30 p.m.