Triple
T2185832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Egyptian hieroglyphs |
E49149
|
entity |
| Predicate | numberOfSigns |
P37173
|
FINISHED |
| Object | over 700 signs in classical period |
—
|
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: over 700 signs in classical period | Statement: [Egyptian hieroglyphs, numberOfSigns, over 700 signs in classical period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSigns Context triple: [Egyptian hieroglyphs, numberOfSigns, over 700 signs in classical period]
-
A.
numberOfSignatories
Indicates the total count of entities that have formally signed or endorsed a given document, agreement, or item.
-
B.
numberOfFiguresDepicted
Indicates the total count of distinct figures shown within a given depiction or representation.
-
C.
numberOfInscriptions
Indicates the total count of inscriptions associated with a given entity or object.
-
D.
numberOfPlates
Indicates the quantity of plates associated with or involved in a particular entity, event, or context.
-
E.
numberOfMarkers
Indicates the quantity or count of markers associated with a given entity or context.
- 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_69a88aa72d348190a9544bb5b8a4e71d |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbf9e99f08190892d34485c8f2f25 |
completed | March 7, 2026, 6:03 a.m. |
| PD | Predicate disambiguation | batch_69abbda32d1881909d1fd83a751fb21c |
completed | March 7, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69abbf9c77fc8190a323bcaf644fb2c5 |
completed | March 7, 2026, 6:03 a.m. |
Created at: March 4, 2026, 7:45 p.m.