Triple
T20666029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kiryat Yearim |
E507887
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object |
Telz-Stone
Telz-Stone is a small Haredi Jewish town in central Israel, known for its religious community and proximity to Jerusalem.
|
E1444581
|
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: Telz-Stone | Statement: [Kiryat Yearim, alternativeName, Telz-Stone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Telz-Stone Context triple: [Kiryat Yearim, alternativeName, Telz-Stone]
-
A.
Telz
Telz is a Nigerian music producer known for crafting Afro-fusion and Afrobeats sounds for top artists such as Burna Boy.
-
B.
Stonem
Stonem is the surname of Tony Stonem, a central character from the British teen drama television series "Skins."
-
C.
Letzel
Letzel is a German-language surname most notably borne by Czech architect Jan Letzel, designer of Hiroshima’s iconic A-Bomb Dome.
-
D.
Rhashan Stone
Rhashan Stone is an American-born British actor and comedian known for his work in television, film, and theatre in the UK.
-
E.
Black Stone
The Black Stone is a revered Islamic relic set into the eastern corner of the Kaaba in Mecca, which pilgrims traditionally try to touch or kiss during the Hajj and Umrah rituals.
- 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: Telz-Stone Triple: [Kiryat Yearim, alternativeName, Telz-Stone]
Generated description
Telz-Stone is a small Haredi Jewish town in central Israel, known for its religious community and proximity to Jerusalem.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Telz-Stone Target entity description: Telz-Stone is a small Haredi Jewish town in central Israel, known for its religious community and proximity to Jerusalem.
-
A.
Telz
Telz is a Nigerian music producer known for crafting Afro-fusion and Afrobeats sounds for top artists such as Burna Boy.
-
B.
Stonem
Stonem is the surname of Tony Stonem, a central character from the British teen drama television series "Skins."
-
C.
Letzel
Letzel is a German-language surname most notably borne by Czech architect Jan Letzel, designer of Hiroshima’s iconic A-Bomb Dome.
-
D.
Rhashan Stone
Rhashan Stone is an American-born British actor and comedian known for his work in television, film, and theatre in the UK.
-
E.
Black Stone
The Black Stone is a revered Islamic relic set into the eastern corner of the Kaaba in Mecca, which pilgrims traditionally try to touch or kiss during the Hajj and Umrah rituals.
- 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_69e0b4c059bc81908ea762cd73ea4424 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b5c2c6d48190bbfe505cf7d973f9 |
completed | April 20, 2026, 11:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08cd5fc3e081909087414333b2615e |
completed | May 16, 2026, 8:02 p.m. |
| NEDg | Description generation | batch_6a08d175eefc8190a5178c0f70f7d79f |
completed | May 16, 2026, 8:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08d23e8ac48190be1726c8e4913b1a |
completed | May 16, 2026, 8:23 p.m. |
Created at: April 16, 2026, 11:44 a.m.