Triple

T24294173
Position Surface form Disambiguated ID Type / Status
Subject Northwest Semitic inscriptions E605910 entity
Predicate hasNotableExample P1259 FINISHED
Object Gezer Calendar
The Gezer Calendar is an ancient Hebrew-inscribed limestone tablet from the 10th century BCE that lists agricultural activities by month and is one of the earliest known examples of Hebrew writing.
 E1627853 NE 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: Gezer Calendar | Statement: [Northwest Semitic inscriptions, hasNotableExample, Gezer Calendar]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Gezer Calendar
Triple: [Northwest Semitic inscriptions, hasNotableExample, Gezer Calendar]
Generated description
The Gezer Calendar is an ancient Hebrew-inscribed limestone tablet from the 10th century BCE that lists agricultural activities by month and is one of the earliest known examples of Hebrew writing.

Provenance (5 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_69e29549335881909cbf27adcaba1cf0 completed April 17, 2026, 8:17 p.m.
NER Named-entity recognition batch_69f2915870c8819089c14de19ba2a5c5 completed April 29, 2026, 11:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fc9cfdaa48190bf692c79a14f6104 completed May 22, 2026, 3:13 a.m.
NEDg Description generation batch_6a0fcb0d718c81909c02cea23a2bffdc completed May 22, 2026, 3:18 a.m.
NED2 Entity disambiguation (via description) batch_6a0fcbe6adc8819094c7d659d5ee63e3 completed May 22, 2026, 3:22 a.m.
Created at: April 18, 2026, 12:09 a.m.