Triple
T9191063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East African languages |
E220588
|
entity |
| Predicate | includesLanguage |
P2177
|
FINISHED |
| Object | Hehe |
E614314
|
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: Hehe | Statement: [East African languages, includesLanguage, Hehe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hehe Context triple: [East African languages, includesLanguage, Hehe]
-
A.
Hehe
chosen
Hehe is a Bantu language spoken primarily by the Hehe people of south-central Tanzania.
-
B.
EHEH
EHEH is the ICAO airport code for Eindhoven Airport, a major regional airport in the Netherlands.
-
C.
HEE
HEE is the acronym for Health Education England, the national body responsible for overseeing education, training, and workforce development for healthcare staff in England.
-
D.
AHHH HA
"AHHH HA" is a 2022 drill-rap track by Lil Durk known for its aggressive delivery and confrontational lyrics within the Chicago rap scene.
-
E.
Hish
Hish was a field corps branch of the Haganah, the main Jewish paramilitary organization in Mandatory Palestine before the establishment of the State of Israel.
- 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_69ca83e7ba70819088b74866d9da2c30 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd5bf25c081909e651b67ef8ecc33 |
completed | April 1, 2026, 8:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05c272f508190aade1769c88cf16d |
completed | April 4, 2026, 12:32 a.m. |
Created at: March 30, 2026, 7:24 p.m.