Triple
T4570997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fala language |
E123028
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object |
Fala
Fala is a Romance language spoken in a small area of northwestern Extremadura, Spain, closely related to Galician and Portuguese.
|
E454147
|
NE FINISHED |
How this triple was built (4 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: Fala | Statement: [Fala language, nativeName, Fala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fala Context triple: [Fala language, nativeName, Fala]
-
A.
Lafia
Lafia is a major city in central Nigeria that serves as the administrative and economic hub of Nasarawa State.
-
B.
FALA
FALA is the ICAO airport code for Lanseria International Airport, a major privately owned international airport serving the Johannesburg region in South Africa.
-
C.
Latada
Latada is a traditional student festival at the University of Coimbra, marked by parades, music, and academic rituals celebrating the start of the academic year.
-
D.
Lemi
Lemi is a small rural municipality in southeastern Finland known for its lakes, forests, and traditional Karelian culture.
-
E.
Lisan
Lisan is the given name of Li Lisan, a prominent early leader of the Chinese Communist movement.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Fala Triple: [Fala language, nativeName, Fala]
Generated description
Fala is a Romance language spoken in a small area of northwestern Extremadura, Spain, closely related to Galician and Portuguese.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fala Target entity description: Fala is a Romance language spoken in a small area of northwestern Extremadura, Spain, closely related to Galician and Portuguese.
-
A.
Lafia
Lafia is a major city in central Nigeria that serves as the administrative and economic hub of Nasarawa State.
-
B.
FALA
FALA is the ICAO airport code for Lanseria International Airport, a major privately owned international airport serving the Johannesburg region in South Africa.
-
C.
Latada
Latada is a traditional student festival at the University of Coimbra, marked by parades, music, and academic rituals celebrating the start of the academic year.
-
D.
Lemi
Lemi is a small rural municipality in southeastern Finland known for its lakes, forests, and traditional Karelian culture.
-
E.
Lisan
Lisan is the given name of Li Lisan, a prominent early leader of the Chinese Communist movement.
- F. None of above. chosen
Provenance (5 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_69bd46466c7081909d07f36be2d08804 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd58c5afa48190bb8505e2cc16e89f |
completed | March 20, 2026, 2:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdd3cf5e10819099b2927c6f571673 |
completed | March 20, 2026, 11:10 p.m. |
| NEDg | Description generation | batch_69bdd7f1efd0819089410e63f853175b |
completed | March 20, 2026, 11:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdd86be2c48190af8011a983f26b0d |
completed | March 20, 2026, 11:29 p.m. |
Created at: March 20, 2026, 1:10 p.m.