Triple

T4935635
Position Surface form Disambiguated ID Type / Status
Subject Philistines E110804 entity
Predicate associatedWithCity P1481 FINISHED
Object Ekron
Ekron was an ancient Philistine city-state in the southern Levant, known as one of the five major cities of the Philistine pentapolis.
 E482800 NE FINISHED

How this triple was built (4 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: Ekron | Statement: [Philistines, associatedWithCity, Ekron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ekron
Context triple: [Philistines, associatedWithCity, Ekron]
  • A. Ashkelon
    Ashkelon is an ancient coastal city in the southern Levant, historically significant as one of the principal cities of the Philistines.
  • B. Kedesh
    Kedesh was an ancient city in the territory of the Israelite tribe of Naphtali, known as a Levitical city of refuge in the Hebrew Bible.
  • C. Sha'ar Yafo
    Sha'ar Yafo is the Hebrew name for Jaffa Gate, one of the main historic entrances to Jerusalem’s Old City.
  • D. Gibeah
    Gibeah was an ancient Israelite city in the territory of Benjamin, historically notable as the royal seat of King Saul.
  • E. Beersheba
    Beersheba is a major city in southern Israel, often regarded as the "Capital of the Negev" and known for its historical significance and rapid modern development.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Ekron
Triple: [Philistines, associatedWithCity, Ekron]
Generated description
Ekron was an ancient Philistine city-state in the southern Levant, known as one of the five major cities of the Philistine pentapolis.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ekron
Target entity description: Ekron was an ancient Philistine city-state in the southern Levant, known as one of the five major cities of the Philistine pentapolis.
  • A. Ashkelon
    Ashkelon is an ancient coastal city in the southern Levant, historically significant as one of the principal cities of the Philistines.
  • B. Kedesh
    Kedesh was an ancient city in the territory of the Israelite tribe of Naphtali, known as a Levitical city of refuge in the Hebrew Bible.
  • C. Sha'ar Yafo
    Sha'ar Yafo is the Hebrew name for Jaffa Gate, one of the main historic entrances to Jerusalem’s Old City.
  • D. Gibeah
    Gibeah was an ancient Israelite city in the territory of Benjamin, historically notable as the royal seat of King Saul.
  • E. Beersheba
    Beersheba is a major city in southern Israel, often regarded as the "Capital of the Negev" and known for its historical significance and rapid modern development.
  • F. None of above. chosen

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_69bd4415eee08190bdce70276e56a5b4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd706825188190b854dca5ca2f9db6 completed March 20, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81c5f8ec8190834c624bae17adff completed March 21, 2026, 11:32 a.m.
NEDg Description generation batch_69be845a59a881909d69ea10d0563b5a completed March 21, 2026, 11:43 a.m.
NED2 Entity disambiguation (via description) batch_69be84ea51288190bb72fd95a7e4f9d4 completed March 21, 2026, 11:45 a.m.
Created at: March 20, 2026, 1:30 p.m.