Triple
T18538333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PIN code system of India |
E453022
|
entity |
| Predicate | numberOfDigits |
P11851
|
FINISHED |
| Object | 6 |
—
|
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: 6 | Statement: [PIN code system of India, numberOfDigits, 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfDigits Context triple: [PIN code system of India, numberOfDigits, 6]
-
A.
hasDigitCount
chosen
Indicates that one entity has a total number of digits equal to the value specified by the other entity.
-
B.
representsDigitsOf
Indicates that one entity encodes or corresponds to the individual digits that make up the numeric value of another entity.
-
C.
numberDescribedAs
Indicates that a number is characterized, labeled, or referred to using a particular description or phrase.
-
D.
numberOfCounts
Indicates the total quantity or tally of discrete occurrences, items, or instances associated with an entity or event.
-
E.
containsNumber
Indicates that one entity includes or has at least one numeric value or digit within 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_69d8d387b5548190aa030dad2cb4947e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e534030bd88190b25b95305a12a0c1 |
completed | April 19, 2026, 7:58 p.m. |
| PD | Predicate disambiguation | batch_69e469e0025c81908f16ed4f922674af |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:37 a.m.