Triple
T16200886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hussainiwala border checkpost |
E393194
|
entity |
| Predicate | commemoratesNearby |
P122138
|
FINISHED |
| Object | martyrs of the Indian freedom struggle |
—
|
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: martyrs of the Indian freedom struggle | Statement: [Hussainiwala border checkpost, commemoratesNearby, martyrs of the Indian freedom struggle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commemoratesNearby Context triple: [Hussainiwala border checkpost, commemoratesNearby, martyrs of the Indian freedom struggle]
-
A.
commemoratedBy
Indicates that something is honored, remembered, or celebrated through a particular action, event, object, or representation.
-
B.
commemoratedIn
Indicates that something is honored, remembered, or recognized within a particular work, event, place, or medium.
-
C.
commemoratesCity
Indicates that something serves as a memorial or tribute specifically to a particular city.
-
D.
commemoratesCommunity
Indicates that one entity serves to honor, remember, or pay tribute to a particular community.
-
E.
commemoratesEventOn
Indicates that one entity marks, honors, or observes a specific event on a particular date or occasion.
- 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_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. |
| PDg | Predicate description generation | batch_69e21e55a2388190b29a045a8c608ba4 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:03 a.m.