Triple
T37011894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guatajiagua |
E915971
|
entity |
| Predicate | hasRegionalDemonym |
P191
|
FINISHED |
| Object | Morazán resident |
—
|
LITERAL 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: Morazán resident | Statement: [Guatajiagua, hasRegionalDemonym, Morazán resident]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRegionalDemonym Context triple: [Guatajiagua, hasRegionalDemonym, Morazán resident]
-
A.
hasDemonym
chosen
Indicates that one entity is the term (demonym) used to refer to the inhabitants or natives of another entity (typically a place).
-
B.
hasDemonymLanguage
Indicates that a language is used as the demonym (people’s name or adjective of nationality) for inhabitants of a particular place or group.
-
C.
administrativeDivisionOfDemonym
Indicates that a term is the demonym (name for residents) associated with a particular administrative division (such as a state, province, or region).
-
D.
hasRegionalName
Indicates that an entity is known by a specific name or designation within a particular region or locality.
-
E.
partOfDemonymSystem
Indicates that something belongs to or functions as a component within a system for forming or organizing demonyms (names for inhabitants of places).
- F. None of above.
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_69f76e90ed548190b187d2475f5c807d |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a10036481909c71188b2a0e7f04 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:14 p.m.