Triple
T16200872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hussainiwala border checkpost |
E393194
|
entity |
| Predicate | hasNearbyCeremony |
P112614
|
FINISHED |
| Object | flag-lowering ceremony |
—
|
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: flag-lowering ceremony | Statement: [Hussainiwala border checkpost, hasNearbyCeremony, flag-lowering ceremony]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyCeremony Context triple: [Hussainiwala border checkpost, hasNearbyCeremony, flag-lowering ceremony]
-
A.
ceremonyHeldNear
chosen
Indicates that a ceremony takes place at a location that is geographically close to a specified reference place or object.
-
B.
hasNearbyEvent
Indicates that an event occurs close in space or time to the referenced entity.
-
C.
nearbyEvent
Indicates that one event occurs close in space or time to another event.
-
D.
hasNearbyPilgrimageSite
Indicates that one entity is located close to a place used as a pilgrimage site for religious or spiritual journeys.
-
E.
ceremonyHeld
Indicates that a formal ceremony or ritual event has taken place at a particular time and/or location.
- 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2270aa7f08190ab37aa9ff46816fc |
completed | April 17, 2026, 12:26 p.m. |
| PD | Predicate disambiguation | batch_69e219e11f6081909106b1240a17fd37 |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:03 a.m.