Triple
T6539407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Massachusett |
E168245
|
entity |
| Predicate | prayingTownIncludes |
P72273
|
FINISHED |
| Object | Natick |
—
|
NE NERFINISHED |
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: Natick | Statement: [Massachusett, prayingTownIncludes, Natick]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: prayingTownIncludes Context triple: [Massachusett, prayingTownIncludes, Natick]
-
A.
containsPilgrimageTown
Indicates that a place or region includes within its boundaries a town that serves as a destination or center for religious pilgrimage.
-
B.
praysAt
Indicates that one entity performs an act of prayer at, or directed toward, a specific place or site.
-
C.
canBePrayed
Indicates that an entity is a suitable or valid target for prayer or religious supplication.
-
D.
parishIncludes
Indicates that a parish geographically or administratively contains or encompasses another entity or area.
-
E.
isPlaceOfWorshipFor
Indicates that a location serves as a site where members of a particular religion or belief system perform worship or religious practices.
- 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_69c68a51564081909e93aee0dbd9cca3 |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6ce07332481909a5a7964282eb776 |
completed | March 27, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69c6acf3e3708190b052ec774e607cb7 |
completed | March 27, 2026, 4:14 p.m. |
| PDg | Predicate description generation | batch_69c6ce0538f48190abf3160681901c17 |
completed | March 27, 2026, 6:35 p.m. |
Created at: March 27, 2026, 1:50 p.m.