Triple
T3393632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surah At-Takathur |
E71475
|
entity |
| Predicate | keyTermMeaning |
P47490
|
FINISHED |
| Object | rivalry in increase or piling up (of worldly things) |
—
|
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: rivalry in increase or piling up (of worldly things) | Statement: [Surah At-Takathur, keyTermMeaning, rivalry in increase or piling up (of worldly things)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: keyTermMeaning Context triple: [Surah At-Takathur, keyTermMeaning, rivalry in increase or piling up (of worldly things)]
-
A.
keyTerm
Indicates that a term functions as a primary or central concept within a given context or information structure.
-
B.
languageTerm
Indicates that one entity is a linguistic expression (word, phrase, or term) used to denote or label the other entity.
-
C.
commonMeaning
Indicates that multiple entities share the same or very similar meaning or semantic interpretation.
-
D.
letterMeaning
Indicates that a particular letter conveys a specific meaning, interpretation, or semantic content.
-
E.
CISMeaning
chosen
Indicates that one concept, term, or symbol conveys, expresses, or stands for a particular meaning or interpretation in a given context.
- 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_69ad85a9c4a88190a854019341cb3b60 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb853746c8190bfa1447e6ebbefb3 |
completed | March 8, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69adadf705608190975423779430cc58 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:14 p.m.