Triple
T5591779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Secunda |
E146894
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Bethal
Bethal is a small town in Mpumalanga, South Africa, known historically for its role in the region’s coal mining and agriculture.
|
E530039
|
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: Bethal | Statement: [Secunda, locatedNear, Bethal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bethal Context triple: [Secunda, locatedNear, Bethal]
-
A.
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.
-
B.
Shechem
Shechem was an important ancient city in the central highlands of Canaan, serving as a significant political and religious center in biblical times.
-
C.
Tel Beth Shemesh
Tel Beth Shemesh is an archaeological mound in central Israel identified with the ancient biblical city of Beth Shemesh, known from both biblical texts and extensive excavations.
-
D.
Anathoth
Anathoth is an ancient Levitical town in the territory of Benjamin, mentioned in the Hebrew Bible and traditionally associated with the prophet Jeremiah.
-
E.
Gibeah
Gibeah was an ancient Israelite city in the territory of Benjamin, historically notable as the royal seat of King Saul.
- 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: Bethal Triple: [Secunda, locatedNear, Bethal]
Generated description
Bethal is a small town in Mpumalanga, South Africa, known historically for its role in the region’s coal mining and agriculture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bethal Target entity description: Bethal is a small town in Mpumalanga, South Africa, known historically for its role in the region’s coal mining and agriculture.
-
A.
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.
-
B.
Shechem
Shechem was an important ancient city in the central highlands of Canaan, serving as a significant political and religious center in biblical times.
-
C.
Tel Beth Shemesh
Tel Beth Shemesh is an archaeological mound in central Israel identified with the ancient biblical city of Beth Shemesh, known from both biblical texts and extensive excavations.
-
D.
Anathoth
Anathoth is an ancient Levitical town in the territory of Benjamin, mentioned in the Hebrew Bible and traditionally associated with the prophet Jeremiah.
-
E.
Gibeah
Gibeah was an ancient Israelite city in the territory of Benjamin, historically notable as the royal seat of King Saul.
- 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_69c009036c408190981a8d690b679b67 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020a3365c8190bd223226c0a6969f |
completed | March 22, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0286852148190ad4975fe746d7001 |
completed | March 22, 2026, 5:35 p.m. |
| NEDg | Description generation | batch_69c03cd1650c8190b4673c479e151cf3 |
completed | March 22, 2026, 7:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c03d6839dc8190ae05e661c4844211 |
completed | March 22, 2026, 7:05 p.m. |
Created at: March 22, 2026, 3:38 p.m.