Triple
T7751559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Stephen’s College massacre |
E175773
|
entity |
| Predicate | hasPlaceIn |
P78509
|
FINISHED |
| Object | history of Hong Kong during World War II |
—
|
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: history of Hong Kong during World War II | Statement: [St. Stephen’s College massacre, hasPlaceIn, history of Hong Kong during World War II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlaceIn Context triple: [St. Stephen’s College massacre, hasPlaceIn, history of Hong Kong during World War II]
-
A.
hasPlaceInTitle
Indicates that a work’s title explicitly includes the name of a place as part of the title.
-
B.
meetsInPlaceOf
Indicates that one entity meets or comes together with another specifically at a designated place or location.
-
C.
heldInPlaceOf
Indicates that one entity is held or conducted as a substitute or stand-in for another entity’s usual location, role, or occurrence.
-
D.
sometimesLocatedIn
Indicates that an entity is located in a given place only at certain times or under certain conditions, rather than permanently or always.
-
E.
hasMainPlace
Indicates that one entity is designated as the primary or central location associated with another entity.
- 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_69c69960b3588190a53aa590d31d9544 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c705257ca08190a78c592a1e616da8 |
completed | March 27, 2026, 10:31 p.m. |
| PD | Predicate disambiguation | batch_69c7016df2b08190b2330a2010691431 |
completed | March 27, 2026, 10:15 p.m. |
| PDg | Predicate description generation | batch_69c70524c3948190a163dc5f4ecdffa7 |
completed | March 27, 2026, 10:31 p.m. |
Created at: March 27, 2026, 4:08 p.m.