Triple
T6774860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nafe language |
E155130
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Nafsan |
E153870
|
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: Nafsan | Statement: [Nafe language, hasAlternativeName, Nafsan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nafsan Context triple: [Nafe language, hasAlternativeName, Nafsan]
-
A.
Nafe
chosen
Nafe is an indigenous Oceanic language spoken in Vanuatu.
-
B.
Nuzha
Nuzha is a residential district in Kuwait City known for its quiet neighborhoods and local amenities.
-
C.
Nawbahar
Nawbahar was the mother of Mahmud of Ghazni, the prominent 11th-century sultan who founded the Ghaznavid Empire in present-day Afghanistan and northern India.
-
D.
Farahnaz
Farahnaz is a Persian female given name, notably borne by Farahnaz Pahlavi, the eldest daughter of the former Shah of Iran, Mohammad Reza Pahlavi.
-
E.
Rawdah
Rawdah is the revered area between the Prophet Muhammad’s tomb and his pulpit in Al-Masjid an-Nabawi in Medina, considered one of the holiest sites in Islam.
- 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_69c68812ef7c819099369f51febb725c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d24ddaf08190baffbff991eeb458 |
completed | March 27, 2026, 6:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c712ca48d88190b9f47b23264d4264 |
completed | March 27, 2026, 11:29 p.m. |
Created at: March 27, 2026, 2:13 p.m.