Triple
T23061453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tau-sa Laya dialect |
E574312
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Tau sa Laya
Tau sa Laya is a dialect of the Sama-Bajau language cluster spoken by coastal communities in the southern Philippines.
|
E1567950
|
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 sa Laya | Statement: [Tau-sa Laya dialect, hasAlternativeName, Tau sa Laya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tau sa Laya Context triple: [Tau-sa Laya dialect, hasAlternativeName, Tau sa Laya]
-
A.
Talitay
Talitay is a municipality located in the province of Maguindanao in the Bangsamoro Autonomous Region in Muslim Mindanao, Philippines.
-
B.
Taif
Taif is a city in western Saudi Arabia known for its cool climate, rose cultivation, and historical significance as a summer resort and cultural center.
-
C.
Tangere
Tangere is a Latin verb meaning "to touch," famously used in the biblical phrase "Noli me tangere" ("Do not touch me").
-
D.
El Tari
El Tari was an Indonesian politician and former governor of East Nusa Tenggara, commemorated through the naming of El Tari International Airport in Kupang.
-
E.
Traal
Traal is a fictional planet from Douglas Adams' "The Hitchhiker's Guide to the Galaxy" series, best known as the home of the ravenous Bugblatter Beast of Traal.
- 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 sa Laya Triple: [Tau-sa Laya dialect, hasAlternativeName, Tau sa Laya]
Generated description
Tau sa Laya is a dialect of the Sama-Bajau language cluster spoken by coastal communities in the southern Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tau sa Laya Target entity description: Tau sa Laya is a dialect of the Sama-Bajau language cluster spoken by coastal communities in the southern Philippines.
-
A.
Talitay
Talitay is a municipality located in the province of Maguindanao in the Bangsamoro Autonomous Region in Muslim Mindanao, Philippines.
-
B.
Taif
Taif is a city in western Saudi Arabia known for its cool climate, rose cultivation, and historical significance as a summer resort and cultural center.
-
C.
Tangere
Tangere is a Latin verb meaning "to touch," famously used in the biblical phrase "Noli me tangere" ("Do not touch me").
-
D.
El Tari
El Tari was an Indonesian politician and former governor of East Nusa Tenggara, commemorated through the naming of El Tari International Airport in Kupang.
-
E.
Traal
Traal is a fictional planet from Douglas Adams' "The Hitchhiker's Guide to the Galaxy" series, best known as the home of the ravenous Bugblatter Beast of Traal.
- 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_69e245ba7ae48190be606dbc54120e39 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1899ff96081908d89a07a3b1065c8 |
completed | April 29, 2026, 4:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c0ae8b98881909915a157f54762d7 |
completed | May 19, 2026, 7:02 a.m. |
| NEDg | Description generation | batch_6a0c0b7fe7848190a8e27b09748b735e |
completed | May 19, 2026, 7:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c0bf256688190b169657a7831f6d0 |
completed | May 19, 2026, 7:06 a.m. |
Created at: April 17, 2026, 3:55 p.m.