Triple
T11288020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Labor–Meimad |
E267248
|
entity |
| Predicate | componentParty |
P98307
|
FINISHED |
| Object | Meimad |
E905935
|
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: Meimad | Statement: [Labor–Meimad, componentParty, Meimad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meimad Context triple: [Labor–Meimad, componentParty, Meimad]
-
A.
Meimad
chosen
Meimad is a small Israeli religious Zionist political party known for its moderate, dovish positions and support for peace-oriented policies.
-
B.
Meis
Meis is the Turkish name for Kastellorizo, a small Greek island in the eastern Mediterranean near the Turkish coast.
-
C.
Demme
Demme is the surname of Jonathan Demme, the acclaimed American film director known for works such as "The Silence of the Lambs" and "Philadelphia."
-
D.
Meent
Meent is a tram stop on Amsterdam’s Amstelveenlijn serving the residential area of Amstelveen in the Netherlands.
-
E.
Mehinako
Mehinako are an Indigenous people of the Upper Xingu region in Brazil, known for their distinct language, rich ritual traditions, and communal village life in the Amazon.
- 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_69d6aac993a08190a6f36445ebaf9a43 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e986b0f08190a414749eaa7f1a5d |
completed | April 9, 2026, 6:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4f48e190c8190b46d4286e2acaef1 |
completed | April 19, 2026, 3:28 p.m. |
Created at: April 8, 2026, 9:32 p.m.