Triple
T4571011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fala language |
E123028
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Xalimegu
Xalimegu is an alternative name for the Fala language, a Romance language spoken in a small area of northwestern Spain.
|
E454151
|
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: Xalimegu | Statement: [Fala language, hasAlternativeName, Xalimegu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xalimegu Context triple: [Fala language, hasAlternativeName, Xalimegu]
-
A.
Bojaxhiu
Bojaxhiu is the Albanian family name of Mother Teresa, the Catholic nun and missionary renowned for her charitable work with the poor in Kolkata, India.
-
B.
Xesibe
Xesibe are a subgroup or clan of the Xhosa people in South Africa, sharing the broader Xhosa language and cultural heritage while maintaining their own distinct lineage and traditions.
-
C.
Shalim
Shalim is a deity from ancient Canaanite religion, commonly associated with dusk or the setting sun.
-
D.
Jimalalud
Jimalalud is a coastal municipality in the province of Negros Oriental in the Philippines, known for its agricultural economy and rural communities.
-
E.
Zimeysa
Zimeysa is a railway station in the canton of Geneva, Switzerland, serving local and regional train services on the Geneva–La Plaine line.
- 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: Xalimegu Triple: [Fala language, hasAlternativeName, Xalimegu]
Generated description
Xalimegu is an alternative name for the Fala language, a Romance language spoken in a small area of northwestern Spain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Xalimegu Target entity description: Xalimegu is an alternative name for the Fala language, a Romance language spoken in a small area of northwestern Spain.
-
A.
Bojaxhiu
Bojaxhiu is the Albanian family name of Mother Teresa, the Catholic nun and missionary renowned for her charitable work with the poor in Kolkata, India.
-
B.
Xesibe
Xesibe are a subgroup or clan of the Xhosa people in South Africa, sharing the broader Xhosa language and cultural heritage while maintaining their own distinct lineage and traditions.
-
C.
Shalim
Shalim is a deity from ancient Canaanite religion, commonly associated with dusk or the setting sun.
-
D.
Jimalalud
Jimalalud is a coastal municipality in the province of Negros Oriental in the Philippines, known for its agricultural economy and rural communities.
-
E.
Zimeysa
Zimeysa is a railway station in the canton of Geneva, Switzerland, serving local and regional train services on the Geneva–La Plaine line.
- 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.