Triple
T860170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indian National Congress |
E18580
|
entity |
| Predicate | firstPrimeMinisterTermStart |
P20266
|
FINISHED |
| Object | 1947 |
—
|
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: 1947 | Statement: [Indian National Congress, firstPrimeMinisterTermStart, 1947]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstPrimeMinisterTermStart Context triple: [Indian National Congress, firstPrimeMinisterTermStart, 1947]
-
A.
primeMinisterTermStart
Indicates the date on which an individual officially begins serving as prime minister.
-
B.
firstPrimeMinister
Indicates that one entity is the first person to hold the office of prime minister of the other entity.
-
C.
primeMinisterAtEnactment
Indicates that the referenced person was serving as prime minister at the time a particular law, act, or measure was enacted.
-
D.
primeMinisterTermEnd
Indicates the date or point in time when a person's tenure as prime minister comes to an end.
-
E.
ageAtFirstBecomingPrimeMinister
Indicates the age a person was when they first assumed the office of prime minister.
- 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_69a4938bdd3c8190a954a3c11844d9cf |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac52536c8190ab198232e9ec4bd6 |
completed | March 1, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69a4aa84835081908aaf98b10656d7d6 |
completed | March 1, 2026, 9:07 p.m. |
| PDg | Predicate description generation | batch_69a4ab498bb0819080e3afb684b504b6 |
completed | March 1, 2026, 9:10 p.m. |
Created at: March 1, 2026, 7:39 p.m.