Triple
T38135832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xinhai |
E952347
|
entity |
| Predicate | linkedEventNameOrigin |
P199011
|
FINISHED |
| Object | Xinhai Revolution named after the year designation |
—
|
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: Xinhai Revolution named after the year designation | Statement: [Xinhai, linkedEventNameOrigin, Xinhai Revolution named after the year designation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linkedEventNameOrigin Context triple: [Xinhai, linkedEventNameOrigin, Xinhai Revolution named after the year designation]
-
A.
isLinkedToEvent
Indicates that an entity has an association or connection with a specific event.
-
B.
originalLocationEvent
Indicates that an event occurred at or is associated with the place where an entity was originally located or originated.
-
C.
signalOrigin
Indicates that one entity is the source or starting point from which a signal is generated or transmitted to others.
-
D.
anchorEvent
Indicates that one event serves as a fixed reference point in time or context for another event or set of events.
-
E.
originalNetworkOrEvent
Indicates that something is associated with, derived from, or belongs to its initial source network or originating event.
- 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_69f76f09a7148190a4b91c0bacdc127a |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69ff1a972bf08190860696ffcd887c0f |
completed | May 9, 2026, 11:29 a.m. |
| PD | Predicate disambiguation | batch_69ff184005d88190bf38283ebc499b28 |
completed | May 9, 2026, 11:19 a.m. |
| PDg | Predicate description generation | batch_69ff1a95b6fc81909331bb03e263b5b9 |
completed | May 9, 2026, 11:29 a.m. |
Created at: May 3, 2026, 4:21 p.m.