Triple
T14969800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argao |
E373285
|
entity |
| Predicate | hasBarangay |
P29835
|
FINISHED |
| Object |
Gutlang
Gutlang is a rural barangay (village-level administrative division) within the municipality of Argao in Cebu, Philippines.
|
E1129966
|
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: Gutlang | Statement: [Argao, hasBarangay, Gutlang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gutlang Context triple: [Argao, hasBarangay, Gutlang]
-
A.
Tyalgum
Tyalgum is a small rural village in northern New South Wales, Australia, known for its scenic hinterland setting near Mount Warning (Wollumbin) and its strong arts and music community.
-
B.
Langquaid
Langquaid is a market town and municipality in Lower Bavaria, Germany, known for its rural character and historical Bavarian architecture.
-
C.
Garliava
Garliava is a small town in central Lithuania known as a suburban community near the city of Kaunas.
-
D.
Gullac
Gullac is a traditional Turkish dessert made from thin cornstarch pastry soaked in sweetened milk and typically garnished with nuts and pomegranate seeds, especially popular during Ramadan.
-
E.
Gnaar
Gnaar is a one-eyed, horned alien creature that serves as one of the most iconic and frequently encountered enemies in the Serious Sam video game series.
- 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: Gutlang Triple: [Argao, hasBarangay, Gutlang]
Generated description
Gutlang is a rural barangay (village-level administrative division) within the municipality of Argao in Cebu, Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gutlang Target entity description: Gutlang is a rural barangay (village-level administrative division) within the municipality of Argao in Cebu, Philippines.
-
A.
Tyalgum
Tyalgum is a small rural village in northern New South Wales, Australia, known for its scenic hinterland setting near Mount Warning (Wollumbin) and its strong arts and music community.
-
B.
Langquaid
Langquaid is a market town and municipality in Lower Bavaria, Germany, known for its rural character and historical Bavarian architecture.
-
C.
Garliava
Garliava is a small town in central Lithuania known as a suburban community near the city of Kaunas.
-
D.
Gullac
Gullac is a traditional Turkish dessert made from thin cornstarch pastry soaked in sweetened milk and typically garnished with nuts and pomegranate seeds, especially popular during Ramadan.
-
E.
Gnaar
Gnaar is a one-eyed, horned alien creature that serves as one of the most iconic and frequently encountered enemies in the Serious Sam video game series.
- 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6e59a7c8190a1634a706ea68fda |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8be6ce68819099f841d83c6ca33d |
completed | May 9, 2026, 1:20 a.m. |
| NEDg | Description generation | batch_69fe8e512adc8190a1cf47f1713a968f |
completed | May 9, 2026, 1:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe8ec3d718819098629558bc007496 |
completed | May 9, 2026, 1:32 a.m. |
Created at: April 10, 2026, 2:49 a.m.