Triple
T11855995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tel Aviv metropolitan area |
E282040
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Hod HaSharon |
E680169
|
NE FINISHED |
How this triple was built (2 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: Hod HaSharon | Statement: [Tel Aviv metropolitan area, hasMunicipality, Hod HaSharon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hod HaSharon Context triple: [Tel Aviv metropolitan area, hasMunicipality, Hod HaSharon]
-
A.
Hod HaSharon
chosen
Hod HaSharon is a city in central Israel, known as a suburban community within the Tel Aviv metropolitan area.
-
B.
Shaar HaBitachon
Shaar HaBitachon is a foundational section of the medieval Jewish ethical work Chovot HaLevavot that teaches the principles and practice of trusting in God.
-
C.
Shaar HaTziyun
Shaar HaTziyun is a detailed commentary and source-reference work by Rabbi Yisrael Meir Kagan that accompanies the Mishnah Berurah on the Shulchan Aruch, Orach Chaim.
-
D.
Ramat Hasharon
Ramat Hasharon is a city in Israel’s Tel Aviv District, known as an affluent suburban community and home to Israel’s national tennis center.
-
E.
Tel HaShomer
Tel HaShomer is a neighborhood in Ramat Gan, Israel, best known for its major military base and large government-run hospital complex.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69f41798b5888190b615d4e23fe3d55e |
completed | May 1, 2026, 3:01 a.m. |
Created at: April 8, 2026, 9:43 p.m.