Triple
T11855996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tel Aviv metropolitan area |
E282040
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Shoham
Shoham is a modern, affluent commuter town in central Israel, located near Tel Aviv and known for its high quality of life and family-oriented residential character.
|
E961703
|
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: Shoham | Statement: [Tel Aviv metropolitan area, hasMunicipality, Shoham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shoham Context triple: [Tel Aviv metropolitan area, hasMunicipality, Shoham]
-
A.
Holon
Holon is a city in central Israel, part of the Tel Aviv metropolitan area, known for its cultural institutions, museums, and diverse communities.
-
B.
Shahar
Shahar is an organization or group that includes Anindya Bose among its members.
-
C.
Farshut
Farshut is a town in Upper Egypt known as an agricultural and local commercial center within the Qena region.
-
D.
Safdie
Safdie is a surname most prominently associated with filmmakers Benny and Josh Safdie, known for their gritty, anxiety-inducing independent films.
-
E.
Kfar Saba, Israel
Kfar Saba is a city in central Israel known for its high quality of life, developed urban infrastructure, and location in the Sharon plain northeast of Tel Aviv.
- 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: Shoham Triple: [Tel Aviv metropolitan area, hasMunicipality, Shoham]
Generated description
Shoham is a modern, affluent commuter town in central Israel, located near Tel Aviv and known for its high quality of life and family-oriented residential character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shoham Target entity description: Shoham is a modern, affluent commuter town in central Israel, located near Tel Aviv and known for its high quality of life and family-oriented residential character.
-
A.
Holon
Holon is a city in central Israel, part of the Tel Aviv metropolitan area, known for its cultural institutions, museums, and diverse communities.
-
B.
Shahar
Shahar is an organization or group that includes Anindya Bose among its members.
-
C.
Farshut
Farshut is a town in Upper Egypt known as an agricultural and local commercial center within the Qena region.
-
D.
Safdie
Safdie is a surname most prominently associated with filmmakers Benny and Josh Safdie, known for their gritty, anxiety-inducing independent films.
-
E.
Kfar Saba, Israel
Kfar Saba is a city in central Israel known for its high quality of life, developed urban infrastructure, and location in the Sharon plain northeast of Tel Aviv.
- 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_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a697f4108190af984932d2118472 |
completed | April 10, 2026, 7:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49cd0f8e0819081e4492e0002e48a |
completed | May 1, 2026, 12:30 p.m. |
| NEDg | Description generation | batch_69f53d8ec5448190b303624887f7fa05 |
completed | May 1, 2026, 11:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f564d2b4348190abf2d09ae00aea37 |
completed | May 2, 2026, 2:43 a.m. |
Created at: April 8, 2026, 9:43 p.m.