Triple
T4172361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swaraj |
E86391
|
entity |
| Predicate | hasNotableExpression |
P22060
|
FINISHED |
| Object | "Swaraj is my birthright and I shall have it" |
—
|
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: "Swaraj is my birthright and I shall have it" | Statement: [Swaraj, hasNotableExpression, "Swaraj is my birthright and I shall have it"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableExpression Context triple: [Swaraj, hasNotableExpression, "Swaraj is my birthright and I shall have it"]
-
A.
hasExpression
Indicates that an entity displays or possesses a particular facial or emotional expression.
-
B.
notableExpression
chosen
Indicates that an entity is known for or characterized by a particular expression, gesture, or manner of expression.
-
C.
hasNotableType
Indicates that an entity is associated with a specific notable category or type that characterizes its significance or role.
-
D.
hasNotableReference
Indicates that one entity makes a significant or noteworthy mention of, or allusion to, another entity.
-
E.
hasNotablePhrase
Indicates that an entity is associated with a specific phrase or expression that is considered notable or characteristic of it.
- 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_69aed93de98c8190ad838ce507b77c8a |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af02e65b548190be095df62091b960 |
completed | March 9, 2026, 5:27 p.m. |
| PD | Predicate disambiguation | batch_69af018fb0948190a9701b2e8e5d9bac |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:45 p.m.