Triple

T4606530
Position Surface form Disambiguated ID Type / Status
Subject Tausug E100449 entity
Predicate selfDesignation P974 FINISHED
Object Tau Sug
Tau Sug are an ethnolinguistic group of the southern Philippines, particularly in the Sulu Archipelago, known for their seafaring traditions, distinct Austronesian language, and rich Islamic cultural heritage.
 E458398 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: Tau Sug | Statement: [Tausug, selfDesignation, Tau Sug]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tau Sug
Context triple: [Tausug, selfDesignation, Tau Sug]
  • A. Lo-Toga
    Lo-Toga is an Oceanic language spoken on the Torres Islands in northern Vanuatu.
  • B. Takanot
    Takanot are rabbinic enactments or decrees established to address communal needs and clarify or safeguard Jewish law within Rabbinic Judaism.
  • C. Tabio
    Tabio is a small Colombian town in the department of Cundinamarca, known for its cool climate, agricultural traditions, and proximity to Bogotá.
  • D. Ta-Mehu
    Ta-Mehu is the ancient Egyptian name for Lower Egypt, the northern region of the Nile Valley encompassing the Nile Delta.
  • E. Tanno
    Tanno is a district or locality within the city of Kitami in Hokkaido, Japan.
  • 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: Tau Sug
Triple: [Tausug, selfDesignation, Tau Sug]
Generated description
Tau Sug are an ethnolinguistic group of the southern Philippines, particularly in the Sulu Archipelago, known for their seafaring traditions, distinct Austronesian language, and rich Islamic cultural heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tau Sug
Target entity description: Tau Sug are an ethnolinguistic group of the southern Philippines, particularly in the Sulu Archipelago, known for their seafaring traditions, distinct Austronesian language, and rich Islamic cultural heritage.
  • A. Lo-Toga
    Lo-Toga is an Oceanic language spoken on the Torres Islands in northern Vanuatu.
  • B. Takanot
    Takanot are rabbinic enactments or decrees established to address communal needs and clarify or safeguard Jewish law within Rabbinic Judaism.
  • C. Tabio
    Tabio is a small Colombian town in the department of Cundinamarca, known for its cool climate, agricultural traditions, and proximity to Bogotá.
  • D. Ta-Mehu
    Ta-Mehu is the ancient Egyptian name for Lower Egypt, the northern region of the Nile Valley encompassing the Nile Delta.
  • E. Tanno
    Tanno is a district or locality within the city of Kitami in Hokkaido, Japan.
  • 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_69bd43cce1e08190a07d53af6a9b6c24 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd599c50d08190ab226cd0691e29f9 completed March 20, 2026, 2:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfa725c048190af9eea074197fa32 completed March 21, 2026, 1:54 a.m.
NEDg Description generation batch_69bdfd26fbe08190aa44c4a1cbd83f6a completed March 21, 2026, 2:06 a.m.
NED2 Entity disambiguation (via description) batch_69bdfdc4156081909bf99ae7f72fde23 completed March 21, 2026, 2:09 a.m.
Created at: March 20, 2026, 1:12 p.m.