Triple
T21544371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marale |
E531580
|
entity |
| Predicate | hasCapital |
P204
|
FINISHED |
| Object | Marale (town) |
—
|
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: Marale (town) | Statement: [Marale, hasCapital, Marale (town)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marale (town) Context triple: [Marale, hasCapital, Marale (town)]
-
A.
Marale
chosen
Marale is a small municipality located in the Francisco Morazán Department of central Honduras.
-
B.
Salamina town
Salamina town is a coastal settlement on the Greek island of Salamina, known for its proximity to the island’s main port and its role as a local commercial and residential center.
-
C.
Masuleh
Masuleh is a historic stepped village in northern Iran renowned for its terraced architecture built into the mountainside and its scenic foggy landscapes.
-
D.
Masalli
Masalli is a city in southeastern Azerbaijan known for its lush subtropical landscapes, hot springs, and role as a regional agricultural and trade center.
-
E.
Talek town
Talek town is a small settlement in Kenya’s Maasai Mara region that serves as a gateway and service hub for tourists visiting the nearby Maasai Mara National Reserve.
- 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_69e0c45f17148190949c330ab9c27706 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeb58d66ec8190b654a46932c841d3 |
completed | April 27, 2026, 1:02 a.m. |
Created at: April 16, 2026, 6:28 p.m.