Triple
T19193024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jorge Sampaio |
E469890
|
entity |
| Predicate | officeEndForMayorOfLisbon |
P122423
|
FINISHED |
| Object | 1995 |
—
|
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: 1995 | Statement: [Jorge Sampaio, officeEndForMayorOfLisbon, 1995]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeEndForMayorOfLisbon Context triple: [Jorge Sampaio, officeEndForMayorOfLisbon, 1995]
-
A.
officeEndForMayorOfToronto
Indicates the date or event marking when an individual's term as Mayor of Toronto comes to an end.
-
B.
precededBy (Mayor of Lisbon)
Indicates that one entity held the position of Mayor of Lisbon before another entity in a temporal sequence.
-
C.
officeEndForMayorOfNewYorkCity
Indicates the date or point in time when a person’s term as Mayor of New York City ends.
-
D.
termEndAsMayor
chosen
Indicates that an entity’s period of service in the role of mayor has concluded at a specified time or event.
-
E.
endTime (Mayor of Madrid)
Indicates the point in time at which a person’s tenure as Mayor of Madrid concludes.
- 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_69d8dd0ad9088190a173b32657ae2e7a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f8a3434881908acc4063a9ee9386 |
completed | April 20, 2026, 9:57 a.m. |
| PD | Predicate disambiguation | batch_69e4b9bb158481909478ca2e06f3ba39 |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:07 p.m.