Triple
T38462784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christianity in South Asia |
E912492
|
entity |
| Predicate | earliestStrongPresence |
P192963
|
FINISHED |
| Object | Kerala |
—
|
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: Kerala | Statement: [Christianity in South Asia, earliestStrongPresence, Kerala]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: earliestStrongPresence Context triple: [Christianity in South Asia, earliestStrongPresence, Kerala]
-
A.
earliestHumanPresenceIn
Indicates the time or event corresponding to the first known occurrence of humans being present in a given place or region.
-
B.
earliestSettlementEstimate
Indicates the earliest estimated point in time when a particular settlement or habitation is believed to have begun.
-
C.
earlyUSPresence
Indicates that the United States had a notable or established presence in a place or context earlier than is typical or before a key reference point in time.
-
D.
hasEarliestUrbanDevelopment
Indicates that one location experienced the beginning of urban development earlier in time than another location.
-
E.
earliestKnownPeriod
Indicates the earliest historical or temporal period in which the subject is known or documented to have existed, occurred, or been relevant.
- 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_69f76e861d8c81908559031dc66e3c15 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd32848ea88190a71e6df402bbb30e |
completed | May 8, 2026, 12:47 a.m. |
| PD | Predicate disambiguation | batch_69fd2d7e95588190991d5f21e25155df |
completed | May 8, 2026, 12:25 a.m. |
| PDg | Predicate description generation | batch_69fd328298ac8190b6bd5ded7dca270d |
completed | May 8, 2026, 12:46 a.m. |
Created at: May 3, 2026, 4:31 p.m.