Triple
T890167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patriarch Isaac |
E19220
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object |
Gerar
Gerar is an ancient Philistine city mentioned in the Hebrew Bible, associated with the patriarchs Abraham and Isaac in the region of the Negev.
|
E105720
|
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: Gerar | Statement: [Patriarch Isaac, residence, Gerar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gerar Context triple: [Patriarch Isaac, residence, Gerar]
-
A.
Gweru
Gweru is a central Zimbabwean city that serves as the capital of the Midlands Province and an important commercial and transportation hub.
-
B.
Gad
Gad is a biblical figure, one of the twelve sons of Jacob and the founder of the Israelite tribe that bears his name.
-
C.
Getaria
Getaria is a coastal town in Spain’s Basque Country, known as the birthplace of explorer Juan Sebastián Elcano and for its fishing heritage and txakoli wine.
-
D.
GER
GER is the official FIFA country code used to represent the Germany national football team in international competitions and records.
-
E.
Generation
Generation is a youth-focused program of the Berlin International Film Festival that showcases films for and about children and teenagers.
- 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: Gerar Triple: [Patriarch Isaac, residence, Gerar]
Generated description
Gerar is an ancient Philistine city mentioned in the Hebrew Bible, associated with the patriarchs Abraham and Isaac in the region of the Negev.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gerar Target entity description: Gerar is an ancient Philistine city mentioned in the Hebrew Bible, associated with the patriarchs Abraham and Isaac in the region of the Negev.
-
A.
Gweru
Gweru is a central Zimbabwean city that serves as the capital of the Midlands Province and an important commercial and transportation hub.
-
B.
Gad
Gad is a biblical figure, one of the twelve sons of Jacob and the founder of the Israelite tribe that bears his name.
-
C.
Getaria
Getaria is a coastal town in Spain’s Basque Country, known as the birthplace of explorer Juan Sebastián Elcano and for its fishing heritage and txakoli wine.
-
D.
GER
GER is the official FIFA country code used to represent the Germany national football team in international competitions and records.
-
E.
Generation
Generation is a youth-focused program of the Berlin International Film Festival that showcases films for and about children and teenagers.
- 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_69a4939d37188190848be3d426ebc9ae |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ad0086a081908c47c285896a1f3c |
completed | March 1, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7c023464481909759c457e87266ab |
completed | March 4, 2026, 5:16 a.m. |
| NEDg | Description generation | batch_69a7c1509a8c81909b8cf074e1ce7169 |
completed | March 4, 2026, 5:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7c21f163881908f7cb02a68ad1220 |
completed | March 4, 2026, 5:24 a.m. |
Created at: March 1, 2026, 7:39 p.m.