Triple
T29570076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mrs. Moore |
E753277
|
entity |
| Predicate | firstMeetingWithDrAziz |
P58222
|
FINISHED |
| Object | mosque in Chandrapore |
—
|
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: mosque in Chandrapore | Statement: [Mrs. Moore, firstMeetingWithDrAziz, mosque in Chandrapore]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstMeetingWithDrAziz Context triple: [Mrs. Moore, firstMeetingWithDrAziz, mosque in Chandrapore]
-
A.
firstMeetingDescription
Indicates a textual description of what happened or was communicated during the first meeting between the involved entities.
-
B.
firstMeets
chosen
Indicates that one entity encounters or comes into contact with another entity for the first time.
-
C.
firstMeetingSeason
Indicates the season of the year during which two entities first met.
-
D.
firstMeetingScore
Indicates the evaluated quality or outcome of an entity’s initial meeting or first interaction with another entity.
-
E.
dateOfFirstMeeting
Indicates the specific date on which two or more entities first met or came together.
- 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_69f0ef7fcb4881908a933110adb9bda1 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_6a0116ca6a1c81909a9e938dbe54eb8a |
completed | May 10, 2026, 11:37 p.m. |
| PD | Predicate disambiguation | batch_6a0116655e248190bdfe5b4bb4f1cf47 |
completed | May 10, 2026, 11:36 p.m. |
Created at: April 28, 2026, 5:57 p.m.