Triple
T7365355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indus script |
E169855
|
entity |
| Predicate | symbolCountEstimate |
P68470
|
FINISHED |
| Object | approximately 400 basic signs |
—
|
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: approximately 400 basic signs | Statement: [Indus script, symbolCountEstimate, approximately 400 basic signs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: symbolCountEstimate Context triple: [Indus script, symbolCountEstimate, approximately 400 basic signs]
-
A.
hasApproximateNumberOfLetters
Indicates that an entity is associated with a number that roughly, but not exactly, corresponds to the count of letters it contains.
-
B.
numberOfCounts
Indicates the total quantity or tally of discrete occurrences, items, or instances associated with an entity or event.
-
C.
hasApproximateNumberOfAttestedWords
Indicates that an entity is associated with an estimated or approximate count of words that are documented or attested for it.
-
D.
hasApproximateNumberOfPictographs
chosen
Indicates that an entity is associated with a quantity of pictographs that is not exact but estimated or approximate.
-
E.
symbolForFrequency
Indicates that one entity serves as the symbolic representation or notation used to denote the frequency of another entity or phenomenon.
- 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_69c68a5ade988190885b7175f63b7534 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f26d6d6081909c7272a9ccae0d97 |
completed | March 27, 2026, 9:11 p.m. |
| PD | Predicate disambiguation | batch_69c6f02d36108190bcb34a95e6a30bd7 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:06 p.m.