Triple
T23460343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maxixe District |
E568954
|
entity |
| Predicate | hasAdministrativeCenter |
P1474
|
FINISHED |
| Object | Maxixe |
—
|
NE NERFINISHED |
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: Maxixe | Statement: [Maxixe District, hasAdministrativeCenter, Maxixe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maxixe Context triple: [Maxixe District, hasAdministrativeCenter, Maxixe]
-
A.
Maxixe
chosen
Maxixe is a major coastal city in southern Mozambique, situated across the bay from the historic town of Inhambane and serving as a key regional commercial hub.
-
B.
El Max
El Max is a coastal district of Alexandria in northern Egypt, known for its fishing community, beaches, and proximity to the Mediterranean Sea.
-
C.
Lojay
Lojay is a Nigerian singer and songwriter known for his Afro-fusion sound and hit collaborations in contemporary Afrobeats.
-
D.
Maxi
Maxi is a retail store or supermarket chain where the product "No Name" is sold.
-
E.
Maxi
Maxi is a nunchaku-wielding pirate and recurring playable fighter in the Soulcalibur series, known for his fast, combo-heavy fighting style.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2458ebd808190b3298163132cfb0b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a69afba88190b1b1dd27d331309f |
completed | April 29, 2026, 6:35 a.m. |
Created at: April 17, 2026, 5:53 p.m.