Triple
T11452114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tora |
E271423
|
entity |
| Predicate | timePeriodOfQuarryUse |
P22210
|
FINISHED |
| Object | Pharaonic era |
—
|
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: Pharaonic era | Statement: [Tora, timePeriodOfQuarryUse, Pharaonic era]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timePeriodOfQuarryUse Context triple: [Tora, timePeriodOfQuarryUse, Pharaonic era]
-
A.
historicalPeriodOfIntensiveQuarrying
chosen
Indicates the time span during which quarrying activities were especially frequent or intensive for a given site or resource.
-
B.
periodOfMajorUse
Indicates the time span during which something was primarily or most intensively used.
-
C.
durationOfUse
Indicates the length of time for which something is used or remains in use.
-
D.
timePeriodOfFormerAirportUse
Indicates the span of time during which a location previously functioned as an airport before ceasing airport operations.
-
E.
timeBetweenCensusAndUse
Indicates the length of time that passes between when a census is conducted and when its data is used for a particular purpose.
- 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_69d6aadff8888190a13f253f0d460874 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d822f2138081909408c7916cef99c9 |
completed | April 9, 2026, 10:06 p.m. |
| PD | Predicate disambiguation | batch_69d80867ff248190bb157fa9e355353b |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:35 p.m.